| default_stage: | |
| default_modifiers: | |
| GPTQModifier: | |
| config_groups: | |
| attention: | |
| targets: ['re:^model\.layers\.\d+\.self_attn\.(q_a_proj|q_b_proj|kv_proj|o_a_proj|o_b_proj)$', | |
| 're:^model\.layers\.\d+\.self_attn\.compressor\.(gate_proj|kv_proj)$', 're:^model\.layers\.\d+\.self_attn\.compressor\.indexer\.(gate_proj|kv_proj|q_b_proj|weights_proj)$'] | |
| weights: | |
| num_bits: 8 | |
| type: float | |
| symmetric: true | |
| group_size: null | |
| strategy: block | |
| block_structure: [128, 128] | |
| dynamic: false | |
| actorder: null | |
| scale_dtype: null | |
| zp_dtype: null | |
| observer: memoryless_minmax | |
| observer_kwargs: {} | |
| input_activations: | |
| num_bits: 8 | |
| type: float | |
| symmetric: true | |
| group_size: 128 | |
| strategy: group | |
| block_structure: null | |
| dynamic: true | |
| actorder: null | |
| scale_dtype: null | |
| zp_dtype: null | |
| observer: null | |
| observer_kwargs: {} | |
| output_activations: null | |
| format: null | |
| experts: | |
| targets: ['re:^model\.layers\.\d+\.mlp\.experts\.\d+\.(gate_proj|up_proj|down_proj)$'] | |
| weights: | |
| num_bits: 4 | |
| type: int | |
| symmetric: true | |
| group_size: 128 | |
| strategy: group | |
| block_structure: null | |
| dynamic: false | |
| actorder: !!python/object/apply:compressed_tensors.quantization.quant_args.ActivationOrdering [ | |
| static] | |
| scale_dtype: null | |
| zp_dtype: null | |
| observer: memoryless_minmax | |
| observer_kwargs: {} | |
| input_activations: null | |
| output_activations: null | |
| format: null | |
| targets: [Linear] | |
| ignore: [lm_head, 're:.*mtp\..*'] | |
| bypass_divisibility_checks: false | |
| block_size: 128 | |
| dampening_frac: 0.1 | |
| actorder: static | |
| offload_hessians: true | |