| { | |
| "architectures": [ | |
| "MiMoV2ForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_mimo_v2.MiMoV2Config", | |
| "AutoModel": "modeling_mimo_v2.MiMoV2Model", | |
| "AutoModelForCausalLM": "modeling_mimo_v2.MiMoV2ForCausalLM" | |
| }, | |
| "quantization_config": { | |
| "activation_scheme": "dynamic", | |
| "fmt": "e4m3", | |
| "quant_method": "fp8", | |
| "weight_block_size": [ | |
| 128, | |
| 128 | |
| ], | |
| "ignored_layers": [ | |
| "model.layers.0.self_attn.o_proj", | |
| "model.layers.1.self_attn.o_proj", | |
| "model.layers.2.self_attn.o_proj", | |
| "model.layers.3.self_attn.o_proj", | |
| "model.layers.4.self_attn.o_proj", | |
| "model.layers.5.self_attn.o_proj", | |
| "model.layers.6.self_attn.o_proj", | |
| "model.layers.7.self_attn.o_proj", | |
| "model.layers.8.self_attn.o_proj", | |
| "model.layers.9.self_attn.o_proj", | |
| "model.layers.10.self_attn.o_proj", | |
| "model.layers.11.self_attn.o_proj", | |
| "model.layers.12.self_attn.o_proj", | |
| "model.layers.13.self_attn.o_proj", | |
| "model.layers.14.self_attn.o_proj", | |
| "model.layers.15.self_attn.o_proj", | |
| "model.layers.16.self_attn.o_proj", | |
| "model.layers.17.self_attn.o_proj", | |
| "model.layers.18.self_attn.o_proj", | |
| "model.layers.19.self_attn.o_proj", | |
| "model.layers.20.self_attn.o_proj", | |
| "model.layers.21.self_attn.o_proj", | |
| "model.layers.22.self_attn.o_proj", | |
| "model.layers.23.self_attn.o_proj", | |
| "model.layers.24.self_attn.o_proj", | |
| "model.layers.25.self_attn.o_proj", | |
| "model.layers.26.self_attn.o_proj", | |
| "model.layers.27.self_attn.o_proj", | |
| "model.layers.28.self_attn.o_proj", | |
| "model.layers.29.self_attn.o_proj", | |
| "model.layers.30.self_attn.o_proj", | |
| "model.layers.31.self_attn.o_proj", | |
| "model.layers.32.self_attn.o_proj", | |
| "model.layers.33.self_attn.o_proj", | |
| "model.layers.34.self_attn.o_proj", | |
| "model.layers.35.self_attn.o_proj", | |
| "model.layers.36.self_attn.o_proj", | |
| "model.layers.37.self_attn.o_proj", | |
| "model.layers.38.self_attn.o_proj", | |
| "model.layers.39.self_attn.o_proj", | |
| "model.layers.40.self_attn.o_proj", | |
| "model.layers.41.self_attn.o_proj", | |
| "model.layers.42.self_attn.o_proj", | |
| "model.layers.43.self_attn.o_proj", | |
| "model.layers.44.self_attn.o_proj", | |
| "model.layers.45.self_attn.o_proj", | |
| "model.layers.46.self_attn.o_proj", | |
| "model.layers.47.self_attn.o_proj", | |
| "model.layers.48.self_attn.o_proj", | |
| "model.layers.49.self_attn.o_proj", | |
| "model.layers.50.self_attn.o_proj", | |
| "model.layers.51.self_attn.o_proj", | |
| "model.layers.52.self_attn.o_proj", | |
| "model.layers.53.self_attn.o_proj", | |
| "model.layers.54.self_attn.o_proj", | |
| "model.layers.55.self_attn.o_proj", | |
| "model.layers.56.self_attn.o_proj", | |
| "model.layers.57.self_attn.o_proj", | |
| "model.layers.58.self_attn.o_proj", | |
| "model.layers.59.self_attn.o_proj", | |
| "model.layers.60.self_attn.o_proj", | |
| "model.layers.61.self_attn.o_proj", | |
| "model.layers.62.self_attn.o_proj", | |
| "model.layers.63.self_attn.o_proj", | |
| "model.layers.64.self_attn.o_proj", | |
| "model.layers.65.self_attn.o_proj", | |
| "model.layers.66.self_attn.o_proj", | |
| "model.layers.67.self_attn.o_proj", | |
| "model.layers.68.self_attn.o_proj", | |
| "model.layers.69.self_attn.o_proj", | |
| "model.decoder.self_attn.o_proj" | |
| ] | |
| }, | |
| "add_full_attention_sink_bias": false, | |
| "add_swa_attention_sink_bias": true, | |
| "attention_bias": false, | |
| "attention_chunk_size": 128, | |
| "attention_dropout": 0.0, | |
| "attention_projection_layout": "fused_qkv", | |
| "attention_value_scale": 0.612, | |
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| "hidden_act": "silu", | |
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| "initializer_range": 0.02, | |
| "intermediate_size": 16384, | |
| "layernorm_epsilon": 1e-05, | |
| "max_position_embeddings": 1048576, | |
| "model_type": "mimo_v2", | |
| "moe_intermediate_size": 2048, | |
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| ], | |
| "n_group": 1, | |
| "n_routed_experts": 384, | |
| "n_shared_experts": null, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 128, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 70, | |
| "num_key_value_heads": 8, | |
| "partial_rotary_factor": 0.334, | |
| "rope_theta": 10000000, | |
| "routed_scaling_factor": null, | |
| "scoring_func": "sigmoid", | |
| "sliding_window": 128, | |
| "sliding_window_size": 128, | |
| "swa_head_dim": 192, | |
| "swa_num_attention_heads": 128, | |
| "swa_num_key_value_heads": 8, | |
| "swa_rope_theta": 10000, | |
| "swa_v_head_dim": 128, | |
| "tie_word_embeddings": false, | |
| "topk_group": 1, | |
| "topk_method": "noaux_tc", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.57.1", | |
| "use_cache": true, | |
| "v_head_dim": 128, | |
| "vocab_size": 152576 | |
| } |