| { |
| "architectures": [ |
| "Qwen3MoeForCausalLM" |
| ], |
| "attention_bias": false, |
| "attention_dropout": 0.0, |
| "decoder_sparse_step": 1, |
| "dtype": "bfloat16", |
| "eos_token_id": 151645, |
| "head_dim": 128, |
| "hidden_act": "silu", |
| "hidden_size": 6144, |
| "initializer_range": 0.02, |
| "intermediate_size": 8192, |
| "max_position_embeddings": 262144, |
| "max_window_layers": 62, |
| "mlp_only_layers": [], |
| "model_type": "qwen3_moe", |
| "moe_intermediate_size": 2560, |
| "norm_topk_prob": true, |
| "num_attention_heads": 96, |
| "num_experts": 160, |
| "num_experts_per_tok": 8, |
| "num_hidden_layers": 62, |
| "num_key_value_heads": 8, |
| "output_router_logits": false, |
| "qkv_bias": false, |
| "rms_norm_eps": 1e-06, |
| "rope_scaling": null, |
| "rope_theta": 10000000, |
| "router_aux_loss_coef": 0.0, |
| "shared_expert_intermediate_size": 0, |
| "sliding_window": null, |
| "tie_word_embeddings": false, |
| "transformers_version": "4.57.3", |
| "use_cache": true, |
| "use_qk_norm": true, |
| "use_sliding_window": false, |
| "vocab_size": 151936, |
| "quantization_config": { |
| "config_groups": { |
| "group_0": { |
| "input_activations": { |
| "dynamic": false, |
| "num_bits": 4, |
| "type": "float", |
| "group_size": 16 |
| }, |
| "weights": { |
| "dynamic": false, |
| "num_bits": 4, |
| "type": "float", |
| "group_size": 16 |
| }, |
| "targets": [ |
| "Linear" |
| ] |
| } |
| }, |
| "ignore": [ |
| "lm_head", |
| "model.layers.0.mlp.gate", |
| "model.layers.1.mlp.gate", |
| "model.layers.10.mlp.gate", |
| "model.layers.11.mlp.gate", |
| "model.layers.12.mlp.gate", |
| "model.layers.13.mlp.gate", |
| "model.layers.14.mlp.gate", |
| "model.layers.15.mlp.gate", |
| "model.layers.16.mlp.gate", |
| "model.layers.17.mlp.gate", |
| "model.layers.18.mlp.gate", |
| "model.layers.19.mlp.gate", |
| "model.layers.2.mlp.gate", |
| "model.layers.20.mlp.gate", |
| "model.layers.21.mlp.gate", |
| "model.layers.22.mlp.gate", |
| "model.layers.23.mlp.gate", |
| "model.layers.24.mlp.gate", |
| "model.layers.25.mlp.gate", |
| "model.layers.26.mlp.gate", |
| "model.layers.27.mlp.gate", |
| "model.layers.28.mlp.gate", |
| "model.layers.29.mlp.gate", |
| "model.layers.3.mlp.gate", |
| "model.layers.30.mlp.gate", |
| "model.layers.31.mlp.gate", |
| "model.layers.32.mlp.gate", |
| "model.layers.33.mlp.gate", |
| "model.layers.34.mlp.gate", |
| "model.layers.35.mlp.gate", |
| "model.layers.36.mlp.gate", |
| "model.layers.37.mlp.gate", |
| "model.layers.38.mlp.gate", |
| "model.layers.39.mlp.gate", |
| "model.layers.4.mlp.gate", |
| "model.layers.40.mlp.gate", |
| "model.layers.41.mlp.gate", |
| "model.layers.42.mlp.gate", |
| "model.layers.43.mlp.gate", |
| "model.layers.44.mlp.gate", |
| "model.layers.45.mlp.gate", |
| "model.layers.46.mlp.gate", |
| "model.layers.47.mlp.gate", |
| "model.layers.48.mlp.gate", |
| "model.layers.49.mlp.gate", |
| "model.layers.5.mlp.gate", |
| "model.layers.50.mlp.gate", |
| "model.layers.51.mlp.gate", |
| "model.layers.52.mlp.gate", |
| "model.layers.53.mlp.gate", |
| "model.layers.54.mlp.gate", |
| "model.layers.55.mlp.gate", |
| "model.layers.56.mlp.gate", |
| "model.layers.57.mlp.gate", |
| "model.layers.58.mlp.gate", |
| "model.layers.59.mlp.gate", |
| "model.layers.6.mlp.gate", |
| "model.layers.60.mlp.gate", |
| "model.layers.61.mlp.gate", |
| "model.layers.7.mlp.gate", |
| "model.layers.8.mlp.gate", |
| "model.layers.9.mlp.gate", |
| "lm_head" |
| ], |
| "quant_algo": "NVFP4", |
| "producer": { |
| "name": "modelopt", |
| "version": "0.39.0" |
| }, |
| "quant_method": "modelopt" |
| } |
| } |
