{ "schema": 1, "name": "lfm2-5-2-6b", "family": "llm", "source": "LiquidAI/LFM2.5-2.6B", "target": { "backend": "coreml", "min_os": "macOS15" }, "arch": { "hidden": 2048, "q_heads": 32, "kv_heads": 8, "head_dim": 64, "layers": 30, "vocab": 128000, "eps": 1e-05 }, "rope": { "strategy": "standard_1d", "theta": 10000000.0 }, "layers_schedule": { "schedule": "hybrid", "attn_idx": [ 2, 5, 9, 13, 17, 21, 24, 27 ], "conv_idx": [ 0, 1, 3, 4, 6, 7, 8, 10, 11, 12, 14, 15, 16, 18, 19, 20, 22, 23, 25, 26, 28, 29 ], "conv_kernel": 3 }, "artifacts": { "graphs": { "chunk0": { "package": "lfm2_5_2_6b_decode_chunk0.mlpackage", "compiled": "lfm2_5_2_6b_decode_chunk0.mlmodelc", "seq": 1, "ctx": 512, "precision": "fp16", "compute_units": "cpuAndNeuralEngine", "stateful": false }, "chunk1": { "package": "lfm2_5_2_6b_decode_chunk1.mlpackage", "compiled": "lfm2_5_2_6b_decode_chunk1.mlmodelc", "seq": 1, "ctx": 512, "precision": "fp16", "compute_units": "cpuAndNeuralEngine", "stateful": false }, "chunk2": { "package": "lfm2_5_2_6b_decode_chunk2.mlpackage", "compiled": "lfm2_5_2_6b_decode_chunk2.mlmodelc", "seq": 1, "ctx": 512, "precision": "fp16", "compute_units": "cpuAndNeuralEngine", "stateful": false }, "chunk3": { "package": "lfm2_5_2_6b_decode_chunk3.mlpackage", "compiled": "lfm2_5_2_6b_decode_chunk3.mlmodelc", "seq": 1, "ctx": 512, "precision": "fp16", "compute_units": "cpuAndNeuralEngine", "stateful": false }, "lmhead": { "package": "lfm2_5_2_6b_lmhead.mlpackage", "compiled": "lfm2_5_2_6b_lmhead.mlmodelc", "seq": 1, "ctx": 512, "precision": "fp16", "compute_units": "cpuAndNeuralEngine", "stateful": false } }, "host_weights": { "embed": "lfm2_5_2_6b_embed_f16.bin" }, "tokenizer": "tokenizer.json" }, "lmhead": { "slices": 8, "slice_width": 16000, "vocab": 128000, "argmax_in_graph": false }, "host_params": { "max_new": 64, "mask_neg": -40000.0 }, "success": { "parity": "greedy_exact", "cosine_min": 0.999, "min_tok_per_s": 4.0 }, "chat": { "prefix": "<|startoftext|><|im_start|>user\n", "suffix": "<|im_end|>\n<|im_start|>assistant\n" } }