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TensorQuantizer(disabled) model.visual.blocks.8.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.8.attn.softmax_quantizer TensorQuantizer(disabled) model.visual.blocks.8.mlp.linear_fc1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.8.mlp.linear_fc1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.8.mlp.linear_fc1.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.8.mlp.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.8.mlp.linear_fc2.output_quantizer TensorQuantizer(disabled) 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TensorQuantizer(disabled) model.visual.blocks.10.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.10.attn.softmax_quantizer TensorQuantizer(disabled) model.visual.blocks.10.mlp.linear_fc1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.10.mlp.linear_fc1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.10.mlp.linear_fc1.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.10.mlp.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.10.mlp.linear_fc2.output_quantizer 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model.visual.blocks.16.mlp.linear_fc1.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.16.mlp.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.16.mlp.linear_fc2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.16.mlp.linear_fc2.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.17.norm1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.17.norm1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.17.norm2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.17.norm2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.qkv.input_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.qkv.output_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.17.attn.softmax_quantizer TensorQuantizer(disabled) model.visual.blocks.17.mlp.linear_fc1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.17.mlp.linear_fc1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.17.mlp.linear_fc1.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.17.mlp.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.17.mlp.linear_fc2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.17.mlp.linear_fc2.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.18.norm1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.18.norm1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.18.norm2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.18.norm2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.qkv.input_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.qkv.output_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.18.attn.softmax_quantizer TensorQuantizer(disabled) model.visual.blocks.18.mlp.linear_fc1.input_quantizer TensorQuantizer(disabled) 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model.visual.blocks.19.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.19.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.19.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.19.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.19.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.19.attn.softmax_quantizer TensorQuantizer(disabled) model.visual.blocks.19.mlp.linear_fc1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.19.mlp.linear_fc1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.19.mlp.linear_fc1.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.19.mlp.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.19.mlp.linear_fc2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.19.mlp.linear_fc2.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.20.norm1.input_quantizer TensorQuantizer(disabled) 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model.visual.blocks.22.norm1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.22.norm1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.22.norm2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.22.norm2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.qkv.input_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.qkv.output_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.22.attn.softmax_quantizer 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model.visual.blocks.25.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.k_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.v_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.25.attn.softmax_quantizer TensorQuantizer(disabled) model.visual.blocks.25.mlp.linear_fc1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.25.mlp.linear_fc1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.25.mlp.linear_fc1.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.25.mlp.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.25.mlp.linear_fc2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.25.mlp.linear_fc2.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.26.norm1.input_quantizer TensorQuantizer(disabled) model.visual.blocks.26.norm1.output_quantizer TensorQuantizer(disabled) model.visual.blocks.26.norm2.input_quantizer TensorQuantizer(disabled) model.visual.blocks.26.norm2.output_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.qkv.input_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.qkv.output_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.qkv.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.proj.input_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.proj.output_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.proj.weight_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.q_bmm_quantizer TensorQuantizer(disabled) model.visual.blocks.26.attn.k_bmm_quantizer TensorQuantizer(disabled) 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model.visual.merger.linear_fc2.input_quantizer TensorQuantizer(disabled) model.visual.merger.linear_fc2.output_quantizer TensorQuantizer(disabled) model.visual.merger.linear_fc2.weight_quantizer TensorQuantizer(disabled) model.language_model.embed_tokens.weight_quantizer TensorQuantizer(disabled) model.language_model.embed_tokens.input_quantizer HardDisabledTensorQuantizer(disabled) model.language_model.embed_tokens.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.88e+00 calibrator=MaxCalibrator quant) model.language_model.layers.0.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.28e+00 calibrator=MaxCalibrator quant) model.language_model.layers.0.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.0.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.53e-01 calibrator=MaxCalibrator quant) model.language_model.layers.0.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.0.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.38e-01 calibrator=MaxCalibrator quant) model.language_model.layers.0.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.0.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.41e+00 calibrator=MaxCalibrator quant) model.language_model.layers.0.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.0.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.41e+00 calibrator=MaxCalibrator quant) model.language_model.layers.0.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.0.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.10e+01 calibrator=MaxCalibrator quant) model.language_model.layers.0.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.0.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.45e-01 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.28e+00 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.45e+00 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.1.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.1.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.16e+00 calibrator=MaxCalibrator quant) model.language_model.layers.1.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.1.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.16e+00 calibrator=MaxCalibrator quant) model.language_model.layers.1.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.1.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.12e+00 calibrator=MaxCalibrator quant) model.language_model.layers.1.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.1.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.53e-01 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.69e+00 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.45e+00 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.2.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.2.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.84e+00 calibrator=MaxCalibrator quant) model.language_model.layers.2.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.36e-01 calibrator=MaxCalibrator quant) model.language_model.layers.2.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.84e+00 calibrator=MaxCalibrator quant) model.language_model.layers.2.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.01e-01 calibrator=MaxCalibrator quant) model.language_model.layers.2.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.41e+01 calibrator=MaxCalibrator quant) model.language_model.layers.2.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.2.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.15e+00 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.20e-01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.06e-01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.20e-01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.04e+01 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.38e+00 calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.3.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.3.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.3.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.16e+00 calibrator=MaxCalibrator quant) model.language_model.layers.3.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.63e-01 calibrator=MaxCalibrator quant) model.language_model.layers.3.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.16e+00 calibrator=MaxCalibrator quant) model.language_model.layers.3.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.78e-01 calibrator=MaxCalibrator quant) model.language_model.layers.3.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e+01 calibrator=MaxCalibrator quant) model.language_model.layers.3.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.3.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.95e-01 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.79e+01 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.35e+00 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.90e-01 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.4.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.4.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.28e+00 calibrator=MaxCalibrator quant) model.language_model.layers.4.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.81e-01 calibrator=MaxCalibrator quant) model.language_model.layers.4.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.28e+00 calibrator=MaxCalibrator quant) model.language_model.layers.4.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.63e-01 calibrator=MaxCalibrator quant) model.language_model.layers.4.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.92e+01 calibrator=MaxCalibrator quant) model.language_model.layers.4.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.4.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.24e-01 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.34e+00 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.86e+01 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.18e-01 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.86e+01 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.5.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.5.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.31e+00 calibrator=MaxCalibrator quant) model.language_model.layers.5.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.5.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.31e+00 calibrator=MaxCalibrator quant) model.language_model.layers.5.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.29e-01 calibrator=MaxCalibrator quant) model.language_model.layers.5.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.28e+01 calibrator=MaxCalibrator quant) model.language_model.layers.5.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.5.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e+01 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.31e+00 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.28e+01 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.28e+01 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.50e-01 calibrator=MaxCalibrator quant) model.language_model.layers.6.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.6.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.06e+01 calibrator=MaxCalibrator quant) model.language_model.layers.6.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.29e-01 calibrator=MaxCalibrator quant) model.language_model.layers.6.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.06e+01 calibrator=MaxCalibrator quant) model.language_model.layers.6.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.05e-01 calibrator=MaxCalibrator quant) model.language_model.layers.6.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.01e+01 calibrator=MaxCalibrator quant) model.language_model.layers.6.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.6.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.81e-01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.91e-01 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.19e+00 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.32e+00 calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.7.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.7.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.7.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.04e+01 calibrator=MaxCalibrator quant) model.language_model.layers.7.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.27e-01 calibrator=MaxCalibrator quant) model.language_model.layers.7.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.04e+01 calibrator=MaxCalibrator quant) model.language_model.layers.7.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.29e-01 calibrator=MaxCalibrator quant) model.language_model.layers.7.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.7.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.7.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.59e-01 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.01e+01 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.34e+00 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e+01 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.27e-01 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e+01 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.09e-01 calibrator=MaxCalibrator quant) model.language_model.layers.8.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.8.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.81e+00 calibrator=MaxCalibrator quant) model.language_model.layers.8.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.15e-01 calibrator=MaxCalibrator quant) model.language_model.layers.8.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.81e+00 calibrator=MaxCalibrator quant) model.language_model.layers.8.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.34e-01 calibrator=MaxCalibrator quant) model.language_model.layers.8.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.35e+01 calibrator=MaxCalibrator quant) model.language_model.layers.8.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.8.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.33e+01 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.22e+00 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.88e-01 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.38e-01 calibrator=MaxCalibrator quant) model.language_model.layers.9.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.9.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.12e+00 calibrator=MaxCalibrator quant) model.language_model.layers.9.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.9.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.12e+00 calibrator=MaxCalibrator quant) model.language_model.layers.9.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.22e-01 calibrator=MaxCalibrator quant) model.language_model.layers.9.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.9.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.9.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.38e-01 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.41e+01 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.01e+00 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.81e-01 calibrator=MaxCalibrator quant) model.language_model.layers.10.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.10.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.10.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.40e-01 calibrator=MaxCalibrator quant) model.language_model.layers.10.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.10.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.10.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e+01 calibrator=MaxCalibrator quant) model.language_model.layers.10.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.10.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.77e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.80e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.81e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.00e+00 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.14e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.11.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.11.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.11.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.16e+01 calibrator=MaxCalibrator quant) model.language_model.layers.11.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.03e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.16e+01 calibrator=MaxCalibrator quant) model.language_model.layers.11.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.22e-01 calibrator=MaxCalibrator quant) model.language_model.layers.11.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.11.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.11.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.86e-01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.23e+01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.41e-01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.25e-01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.19e-01 calibrator=MaxCalibrator quant) model.language_model.layers.12.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.12.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.23e+01 calibrator=MaxCalibrator quant) model.language_model.layers.12.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.12.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.23e+01 calibrator=MaxCalibrator quant) model.language_model.layers.12.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.11e-01 calibrator=MaxCalibrator quant) model.language_model.layers.12.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.12.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.12.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.23e-01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.98e-01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.15e-01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.03e-01 calibrator=MaxCalibrator quant) model.language_model.layers.13.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.13.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.28e+01 calibrator=MaxCalibrator quant) model.language_model.layers.13.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.57e-01 calibrator=MaxCalibrator quant) model.language_model.layers.13.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.28e+01 calibrator=MaxCalibrator quant) model.language_model.layers.13.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.50e-01 calibrator=MaxCalibrator quant) model.language_model.layers.13.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.78e+01 calibrator=MaxCalibrator quant) model.language_model.layers.13.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.13.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.38e+01 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.03e+00 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.77e-01 calibrator=MaxCalibrator quant) model.language_model.layers.14.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.14.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e+01 calibrator=MaxCalibrator quant) model.language_model.layers.14.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.26e-01 calibrator=MaxCalibrator quant) model.language_model.layers.14.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e+01 calibrator=MaxCalibrator quant) model.language_model.layers.14.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.31e-01 calibrator=MaxCalibrator quant) model.language_model.layers.14.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.14.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.14.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.33e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.80e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.41e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.19e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.75e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.15.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.15.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.15.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.74e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.74e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.21e-01 calibrator=MaxCalibrator quant) model.language_model.layers.15.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.92e+01 calibrator=MaxCalibrator quant) model.language_model.layers.15.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.15.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.39e+01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.34e-01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.21e-01 calibrator=MaxCalibrator quant) model.language_model.layers.16.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.16.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.16.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.16.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.16.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.20e-01 calibrator=MaxCalibrator quant) model.language_model.layers.16.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.01e+01 calibrator=MaxCalibrator quant) model.language_model.layers.16.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.16.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.40e-01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.53e-01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.18e+01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.18e+01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.15e-01 calibrator=MaxCalibrator quant) model.language_model.layers.17.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.17.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.92e+01 calibrator=MaxCalibrator quant) model.language_model.layers.17.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.94e-01 calibrator=MaxCalibrator quant) model.language_model.layers.17.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.92e+01 calibrator=MaxCalibrator quant) model.language_model.layers.17.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.40e-01 calibrator=MaxCalibrator quant) model.language_model.layers.17.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.59e+01 calibrator=MaxCalibrator quant) model.language_model.layers.17.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.17.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.14e-01 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.19e+00 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.36e-01 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.18.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.18.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.18.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.18.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.18.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.26e-01 calibrator=MaxCalibrator quant) model.language_model.layers.18.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.81e+01 calibrator=MaxCalibrator quant) model.language_model.layers.18.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.18.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.74e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.95e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.36e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.94e+00 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.06e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.19.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.19.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.19.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.82e+01 calibrator=MaxCalibrator quant) model.language_model.layers.19.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.08e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.82e+01 calibrator=MaxCalibrator quant) model.language_model.layers.19.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.41e-01 calibrator=MaxCalibrator quant) model.language_model.layers.19.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.10e+01 calibrator=MaxCalibrator quant) model.language_model.layers.19.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.19.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.39e-01 calibrator=MaxCalibrator quant) model.language_model.layers.20.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.20.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.21e+00 calibrator=MaxCalibrator quant) model.language_model.layers.20.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.02e+01 calibrator=MaxCalibrator quant) model.language_model.layers.20.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.20.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.20.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.20.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.06e+01 calibrator=MaxCalibrator quant) model.language_model.layers.20.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.20.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.40e-01 calibrator=MaxCalibrator quant) model.language_model.layers.20.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.06e+01 calibrator=MaxCalibrator quant) model.language_model.layers.20.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.20.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e-01 calibrator=MaxCalibrator quant) model.language_model.layers.20.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.38e+01 calibrator=MaxCalibrator quant) model.language_model.layers.20.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.20.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.11e+00 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.80e-01 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.38e-01 calibrator=MaxCalibrator quant) model.language_model.layers.21.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.21.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e+01 calibrator=MaxCalibrator quant) model.language_model.layers.21.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.21.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e+01 calibrator=MaxCalibrator quant) model.language_model.layers.21.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.41e-01 calibrator=MaxCalibrator quant) model.language_model.layers.21.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.21.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.21.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.06e+00 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.76e-01 calibrator=MaxCalibrator quant) model.language_model.layers.22.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.22.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e+01 calibrator=MaxCalibrator quant) model.language_model.layers.22.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.33e-01 calibrator=MaxCalibrator quant) model.language_model.layers.22.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e+01 calibrator=MaxCalibrator quant) model.language_model.layers.22.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.20e-01 calibrator=MaxCalibrator quant) model.language_model.layers.22.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.22.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.22.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.90e-01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.98e-01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.80e-01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.64e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.05e+00 calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.23.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.23.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.23.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.69e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.23.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.69e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.15e-01 calibrator=MaxCalibrator quant) model.language_model.layers.23.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.23.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.23.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.09e-01 calibrator=MaxCalibrator quant) model.language_model.layers.24.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e+01 calibrator=MaxCalibrator quant) model.language_model.layers.24.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.24.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.24.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.24.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.24.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.24.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.61e+01 calibrator=MaxCalibrator quant) model.language_model.layers.24.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.24.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.24.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.25.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.25.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.05e-01 calibrator=MaxCalibrator quant) model.language_model.layers.25.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.25.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.71e-01 calibrator=MaxCalibrator quant) model.language_model.layers.25.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.25.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.75e-01 calibrator=MaxCalibrator quant) model.language_model.layers.25.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.25.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.84e+01 calibrator=MaxCalibrator quant) model.language_model.layers.25.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.25.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.84e+01 calibrator=MaxCalibrator quant) model.language_model.layers.25.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.49e-01 calibrator=MaxCalibrator quant) model.language_model.layers.25.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.25.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.25.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.04e-01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.43e+01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.97e-01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.89e-01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.26.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.26.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.62e+01 calibrator=MaxCalibrator quant) model.language_model.layers.26.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.26.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.62e+01 calibrator=MaxCalibrator quant) model.language_model.layers.26.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.26.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.38e+01 calibrator=MaxCalibrator quant) model.language_model.layers.26.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.26.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.41e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.24e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.75e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.10e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.78e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.27.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.27.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.27.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.06e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.75e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.06e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.27.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.27.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.27.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.39e-01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.56e+01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.20e-01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.28.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.28.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.28.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.06e-01 calibrator=MaxCalibrator quant) model.language_model.layers.28.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.28.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.28.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.28.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.28.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.79e+01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.56e-01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.42e-01 calibrator=MaxCalibrator quant) model.language_model.layers.29.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.29.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.29.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.29.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.29.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.29.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.29.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.29.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.64e+01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.23e-01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.30.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.30.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.78e+01 calibrator=MaxCalibrator quant) model.language_model.layers.30.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.10e-01 calibrator=MaxCalibrator quant) model.language_model.layers.30.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.78e+01 calibrator=MaxCalibrator quant) model.language_model.layers.30.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.24e-01 calibrator=MaxCalibrator quant) model.language_model.layers.30.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.44e+01 calibrator=MaxCalibrator quant) model.language_model.layers.30.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.30.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.45e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.05e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.93e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.05e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.05e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.69e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.03e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.82e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.31.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.31.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.31.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.35e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.72e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.35e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.31.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e+01 calibrator=MaxCalibrator quant) model.language_model.layers.31.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.31.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.56e-01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.79e+01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.29e-01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.11e-01 calibrator=MaxCalibrator quant) model.language_model.layers.32.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.32.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.32.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.32.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.32e+01 calibrator=MaxCalibrator quant) model.language_model.layers.32.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.32.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.11e+01 calibrator=MaxCalibrator quant) model.language_model.layers.32.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.32.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.47e-01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.64e-01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e-01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.33.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.33.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.33.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.44e-01 calibrator=MaxCalibrator quant) model.language_model.layers.33.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.33.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.89e-01 calibrator=MaxCalibrator quant) model.language_model.layers.33.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.59e+01 calibrator=MaxCalibrator quant) model.language_model.layers.33.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.33.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.22e-01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.79e+01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.83e-01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.32e-01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.18e-01 calibrator=MaxCalibrator quant) model.language_model.layers.34.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.34.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.34.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.44e-01 calibrator=MaxCalibrator quant) model.language_model.layers.34.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.34.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.27e-01 calibrator=MaxCalibrator quant) model.language_model.layers.34.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.34.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.34.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.91e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.31e+00 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.41e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.35.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.35.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.35.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.35.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.35.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.17e-01 calibrator=MaxCalibrator quant) model.language_model.layers.35.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.35e+01 calibrator=MaxCalibrator quant) model.language_model.layers.35.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.35.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.37e-01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.59e-01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.36.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.36.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.42e+01 calibrator=MaxCalibrator quant) model.language_model.layers.36.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.30e-01 calibrator=MaxCalibrator quant) model.language_model.layers.36.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.42e+01 calibrator=MaxCalibrator quant) model.language_model.layers.36.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.26e-01 calibrator=MaxCalibrator quant) model.language_model.layers.36.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.36.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.36.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.05e+01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.45e-01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.37.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.37.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.37.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.37.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.37.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.15e-01 calibrator=MaxCalibrator quant) model.language_model.layers.37.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.82e+01 calibrator=MaxCalibrator quant) model.language_model.layers.37.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.37.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.03e-01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.75e+01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.98e-01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.46e-01 calibrator=MaxCalibrator quant) model.language_model.layers.38.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.38.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.65e+01 calibrator=MaxCalibrator quant) model.language_model.layers.38.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.28e-01 calibrator=MaxCalibrator quant) model.language_model.layers.38.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.65e+01 calibrator=MaxCalibrator quant) model.language_model.layers.38.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.72e-01 calibrator=MaxCalibrator quant) model.language_model.layers.38.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.20e+01 calibrator=MaxCalibrator quant) model.language_model.layers.38.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.38.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.84e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.24e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.09e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.79e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.91e+00 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.34e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.39.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.39.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.39.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.39.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.13e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.39.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.02e-01 calibrator=MaxCalibrator quant) model.language_model.layers.39.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.39.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.39.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.86e-01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.36e-01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.65e-01 calibrator=MaxCalibrator quant) model.language_model.layers.40.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.40.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.05e+01 calibrator=MaxCalibrator quant) model.language_model.layers.40.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.40.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.05e+01 calibrator=MaxCalibrator quant) model.language_model.layers.40.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.40.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.40.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.40.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.60e-01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.16e+01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.76e-01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.40e-01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.41.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.41.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.41.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.49e-01 calibrator=MaxCalibrator quant) model.language_model.layers.41.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.41.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.72e-01 calibrator=MaxCalibrator quant) model.language_model.layers.41.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.35e+01 calibrator=MaxCalibrator quant) model.language_model.layers.41.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.41.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.47e-01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.28e+01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.15e-01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.40e-01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.22e-01 calibrator=MaxCalibrator quant) model.language_model.layers.42.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.42.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.42.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.79e-01 calibrator=MaxCalibrator quant) model.language_model.layers.42.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.42.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.42.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.42.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.42.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.47e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.06e+02 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.06e+02 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.06e+02 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.13e+01 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.49e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.43.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.43.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.43.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.43.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.06e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.43.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.43.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.75e+01 calibrator=MaxCalibrator quant) model.language_model.layers.43.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.43.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.94e-01 calibrator=MaxCalibrator quant) model.language_model.layers.44.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.44.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.94e-01 calibrator=MaxCalibrator quant) model.language_model.layers.44.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.10e+01 calibrator=MaxCalibrator quant) model.language_model.layers.44.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.44.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.44.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.44.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.44.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.44.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.13e-01 calibrator=MaxCalibrator quant) model.language_model.layers.44.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.45.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.45.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.45.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.45.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.45.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.45.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.75e+01 calibrator=MaxCalibrator quant) model.language_model.layers.45.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.45.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.45.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.45.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.45.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.45.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.68e+01 calibrator=MaxCalibrator quant) model.language_model.layers.45.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.45.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.45.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.46.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.46.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.46.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.82e+01 calibrator=MaxCalibrator quant) model.language_model.layers.46.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.46.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.27e-01 calibrator=MaxCalibrator quant) model.language_model.layers.46.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.46.linear_attn.in_proj_qkv.output_quantizer 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'scale_bits': (4, 3)}, amax=9.65e+01 calibrator=MaxCalibrator quant) model.language_model.layers.47.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.47.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.47.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.65e+01 calibrator=MaxCalibrator quant) model.language_model.layers.47.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.47.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.95e-01 calibrator=MaxCalibrator quant) model.language_model.layers.47.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.48.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.48.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.48.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.48.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.48.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.48.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.48.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.48.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.48.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.48.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.48.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.48.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.48.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.48.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.59e-01 calibrator=MaxCalibrator quant) model.language_model.layers.48.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.48.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.48.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e-01 calibrator=MaxCalibrator quant) model.language_model.layers.48.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.48.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.48.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.86e-01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.34e-01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.87e-01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.90e+01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.49.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.49.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.30e+01 calibrator=MaxCalibrator quant) model.language_model.layers.49.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.49.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.67e-01 calibrator=MaxCalibrator quant) model.language_model.layers.49.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.50.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.50.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.50.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.12e+01 calibrator=MaxCalibrator quant) model.language_model.layers.50.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.50.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.14e-01 calibrator=MaxCalibrator quant) model.language_model.layers.50.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.60e+01 calibrator=MaxCalibrator quant) model.language_model.layers.50.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.50.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.50.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.50.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.50.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.50.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.50.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.50.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.93e-01 calibrator=MaxCalibrator quant) model.language_model.layers.50.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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'scale_bits': (4, 3)}, amax=7.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.51.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.51.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.51.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.40e+01 calibrator=MaxCalibrator quant) model.language_model.layers.51.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.51.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.54e-01 calibrator=MaxCalibrator quant) model.language_model.layers.51.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.51.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.51.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.51.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.51.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.51.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.51.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.89e-01 calibrator=MaxCalibrator quant) model.language_model.layers.51.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.51.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.51.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.71e-01 calibrator=MaxCalibrator quant) model.language_model.layers.51.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.51.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.51.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.19e-01 calibrator=MaxCalibrator quant) model.language_model.layers.52.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.75e+01 calibrator=MaxCalibrator quant) model.language_model.layers.52.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.44e-01 calibrator=MaxCalibrator quant) model.language_model.layers.52.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.50e+01 calibrator=MaxCalibrator quant) model.language_model.layers.52.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.52.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.52.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.52.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.42e+01 calibrator=MaxCalibrator quant) model.language_model.layers.52.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.52.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.52.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.42e+01 calibrator=MaxCalibrator quant) model.language_model.layers.52.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.52.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.35e-01 calibrator=MaxCalibrator quant) model.language_model.layers.52.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.05e+02 calibrator=MaxCalibrator quant) model.language_model.layers.52.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.52.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.77e-01 calibrator=MaxCalibrator quant) model.language_model.layers.53.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.19e+02 calibrator=MaxCalibrator quant) model.language_model.layers.53.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.52e-01 calibrator=MaxCalibrator quant) model.language_model.layers.53.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.72e+01 calibrator=MaxCalibrator quant) model.language_model.layers.53.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.53.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.53.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.53.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.53.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.53.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.63e-01 calibrator=MaxCalibrator quant) model.language_model.layers.53.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.88e+01 calibrator=MaxCalibrator quant) model.language_model.layers.53.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.53.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.53.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.07e+02 calibrator=MaxCalibrator quant) model.language_model.layers.53.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.53.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.86e-01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.80e+01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.18e-01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.08e+01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.03e-01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.08e+01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.70e-01 calibrator=MaxCalibrator quant) model.language_model.layers.54.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.54.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.08e+01 calibrator=MaxCalibrator quant) model.language_model.layers.54.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.54.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.79e-01 calibrator=MaxCalibrator quant) model.language_model.layers.54.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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'scale_bits': (4, 3)}, amax=5.75e+01 calibrator=MaxCalibrator quant) model.language_model.layers.55.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.55.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.58e-01 calibrator=MaxCalibrator quant) model.language_model.layers.55.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.75e+01 calibrator=MaxCalibrator quant) model.language_model.layers.55.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.55.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.55.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.55.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.55.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.55.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.55.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.94e+01 calibrator=MaxCalibrator quant) model.language_model.layers.55.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.55.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.55.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.94e+01 calibrator=MaxCalibrator quant) model.language_model.layers.55.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.55.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.68e-01 calibrator=MaxCalibrator quant) model.language_model.layers.55.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.32e+02 calibrator=MaxCalibrator quant) model.language_model.layers.55.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.55.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.34e-01 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.58e+02 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.77e-01 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.36e-01 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.85e+01 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.26e-01 calibrator=MaxCalibrator quant) model.language_model.layers.56.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.56.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.00e+01 calibrator=MaxCalibrator quant) model.language_model.layers.56.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.56.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.56.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.57.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.57.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.57.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.20e+02 calibrator=MaxCalibrator quant) model.language_model.layers.57.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.57.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.57.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.98e+01 calibrator=MaxCalibrator quant) model.language_model.layers.57.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.57.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.57.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.57.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.57.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.57.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.55e+01 calibrator=MaxCalibrator quant) model.language_model.layers.57.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.57.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.08e-01 calibrator=MaxCalibrator quant) model.language_model.layers.57.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 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model.language_model.layers.58.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.58.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.58.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e+02 calibrator=MaxCalibrator quant) model.language_model.layers.58.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.58.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.15e+00 calibrator=MaxCalibrator quant) model.language_model.layers.58.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.78e+01 calibrator=MaxCalibrator quant) model.language_model.layers.58.linear_attn.in_proj_qkv.output_quantizer 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model.language_model.layers.58.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.58.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.58.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.58.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.58.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.58.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.58.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.49e-01 calibrator=MaxCalibrator quant) model.language_model.layers.58.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.58.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.58.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.21e-01 calibrator=MaxCalibrator quant) model.language_model.layers.58.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.66e+02 calibrator=MaxCalibrator quant) model.language_model.layers.58.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.58.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.19e-01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.89e-01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.49e-01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.45e+01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.30e-01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.11e+00 calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.59.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.59.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.59.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.59.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.59.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.59.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.59.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.68e+02 calibrator=MaxCalibrator quant) model.language_model.layers.59.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.59.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.01e-01 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.60e+02 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.85e-01 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.43e-01 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.15e+01 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.05e-01 calibrator=MaxCalibrator quant) model.language_model.layers.60.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.60.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.60.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.18e-01 calibrator=MaxCalibrator quant) model.language_model.layers.60.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.52e+01 calibrator=MaxCalibrator quant) model.language_model.layers.60.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.66e-01 calibrator=MaxCalibrator quant) model.language_model.layers.60.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.00e+02 calibrator=MaxCalibrator quant) model.language_model.layers.60.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.60.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.15e+00 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.36e+02 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=8.12e-01 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.93e-01 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.25e+01 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.83e-01 calibrator=MaxCalibrator quant) model.language_model.layers.61.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.61.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.61.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.71e-01 calibrator=MaxCalibrator quant) model.language_model.layers.61.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.95e+01 calibrator=MaxCalibrator quant) model.language_model.layers.61.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.48e-01 calibrator=MaxCalibrator quant) model.language_model.layers.61.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.56e+02 calibrator=MaxCalibrator quant) model.language_model.layers.61.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.61.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.73e-01 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.conv1d.input_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.conv1d.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.conv1d.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.out_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.00e+02 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.out_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.out_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=9.69e-01 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.in_proj_qkv.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.42e+01 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.in_proj_qkv.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_qkv.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.84e-01 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.in_proj_z.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.42e+01 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.in_proj_z.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_z.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.61e-01 calibrator=MaxCalibrator quant) model.language_model.layers.62.linear_attn.in_proj_b.input_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_b.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_b.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_a.input_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_a.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.linear_attn.in_proj_a.weight_quantizer TensorQuantizer(disabled) model.language_model.layers.62.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.62.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.18e-01 calibrator=MaxCalibrator quant) model.language_model.layers.62.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.22e+01 calibrator=MaxCalibrator quant) model.language_model.layers.62.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.93e-01 calibrator=MaxCalibrator quant) model.language_model.layers.62.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.30e+02 calibrator=MaxCalibrator quant) model.language_model.layers.62.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.62.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=6.72e-01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.q_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.q_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.self_attn.q_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.20e-01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.k_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.k_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.self_attn.k_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.56e-01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.v_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.v_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.self_attn.v_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.00e+00 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.o_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=1.32e+02 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.o_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.self_attn.o_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=7.50e-01 calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.q_bmm_quantizer TensorQuantizer(disabled) model.language_model.layers.63.self_attn.k_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.v_bmm_quantizer TensorQuantizer((4, 3) bit fake per-tensor amax=dynamic calibrator=MaxCalibrator quant) model.language_model.layers.63.self_attn.softmax_quantizer TensorQuantizer(disabled) model.language_model.layers.63.mlp.gate_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.63.mlp.gate_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.mlp.gate_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=3.55e-01 calibrator=MaxCalibrator quant) model.language_model.layers.63.mlp.up_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.70e+01 calibrator=MaxCalibrator quant) model.language_model.layers.63.mlp.up_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.mlp.up_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=2.89e-01 calibrator=MaxCalibrator quant) model.language_model.layers.63.mlp.down_proj.input_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=4.34e+02 calibrator=MaxCalibrator quant) model.language_model.layers.63.mlp.down_proj.output_quantizer TensorQuantizer(disabled) model.language_model.layers.63.mlp.down_proj.weight_quantizer TensorQuantizer((2, 1) bit fake block_sizes={-1: 16, 'type': 'dynamic', 'scale_bits': (4, 3)}, amax=5.08e-01 calibrator=MaxCalibrator quant) lm_head.input_quantizer TensorQuantizer(disabled) lm_head.output_quantizer TensorQuantizer(disabled) lm_head.weight_quantizer TensorQuantizer(disabled) 2256 TensorQuantizers found in model