| { |
| "architectures": [ |
| "Qwen3MoeForCausalLM" |
| ], |
| "attention_bias": false, |
| "attention_dropout": 0.0, |
| "bos_token_id": 151643, |
| "decoder_sparse_step": 1, |
| "eos_token_id": 151645, |
| "head_dim": 128, |
| "hidden_act": "silu", |
| "hidden_size": 4096, |
| "initializer_range": 0.02, |
| "intermediate_size": 12288, |
| "max_position_embeddings": 40960, |
| "max_window_layers": 94, |
| "mlp_only_layers": [], |
| "model_type": "qwen3_moe", |
| "moe_intermediate_size": 1536, |
| "norm_topk_prob": true, |
| "num_attention_heads": 64, |
| "num_experts": 128, |
| "num_experts_per_tok": 8, |
| "num_hidden_layers": 94, |
| "num_key_value_heads": 4, |
| "output_router_logits": false, |
| "quantization_config": { |
| "config_groups": { |
| "group_0": { |
| "input_activations": { |
| "actorder": null, |
| "block_structure": null, |
| "dynamic": true, |
| "group_size": null, |
| "num_bits": 8, |
| "observer": null, |
| "observer_kwargs": {}, |
| "strategy": "token", |
| "symmetric": true, |
| "type": "float" |
| }, |
| "output_activations": null, |
| "targets": [ |
| "Linear" |
| ], |
| "weights": { |
| "actorder": null, |
| "block_structure": null, |
| "dynamic": false, |
| "group_size": null, |
| "num_bits": 8, |
| "observer": "mse", |
| "observer_kwargs": {}, |
| "strategy": "channel", |
| "symmetric": true, |
| "type": "float" |
| } |
| } |
| }, |
| "format": "float-quantized", |
| "global_compression_ratio": null, |
| "ignore": [ |
| "model.layers.0.mlp.gate", |
| "model.layers.1.mlp.gate", |
| "model.layers.2.mlp.gate", |
| "model.layers.3.mlp.gate", |
| "model.layers.4.mlp.gate", |
| "model.layers.5.mlp.gate", |
| "model.layers.6.mlp.gate", |
| "model.layers.7.mlp.gate", |
| "model.layers.8.mlp.gate", |
| "model.layers.9.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.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.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.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.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.60.mlp.gate", |
| "model.layers.61.mlp.gate", |
| "model.layers.62.mlp.gate", |
| "model.layers.63.mlp.gate", |
| "model.layers.64.mlp.gate", |
| "model.layers.65.mlp.gate", |
| "model.layers.66.mlp.gate", |
| "model.layers.67.mlp.gate", |
| "model.layers.68.mlp.gate", |
| "model.layers.69.mlp.gate", |
| "model.layers.70.mlp.gate", |
| "model.layers.71.mlp.gate", |
| "model.layers.72.mlp.gate", |
| "model.layers.73.mlp.gate", |
| "model.layers.74.mlp.gate", |
| "model.layers.75.mlp.gate", |
| "model.layers.76.mlp.gate", |
| "model.layers.77.mlp.gate", |
| "model.layers.78.mlp.gate", |
| "model.layers.79.mlp.gate", |
| "model.layers.80.mlp.gate", |
| "model.layers.81.mlp.gate", |
| "model.layers.82.mlp.gate", |
| "model.layers.83.mlp.gate", |
| "model.layers.84.mlp.gate", |
| "model.layers.85.mlp.gate", |
| "model.layers.86.mlp.gate", |
| "model.layers.87.mlp.gate", |
| "model.layers.88.mlp.gate", |
| "model.layers.89.mlp.gate", |
| "model.layers.90.mlp.gate", |
| "model.layers.91.mlp.gate", |
| "model.layers.92.mlp.gate", |
| "model.layers.93.mlp.gate", |
| "lm_head" |
| ], |
| "kv_cache_scheme": null, |
| "quant_method": "compressed-tensors", |
| "quantization_status": "compressed" |
| }, |
| "rms_norm_eps": 1e-06, |
| "rope_scaling": null, |
| "rope_theta": 1000000.0, |
| "router_aux_loss_coef": 0.001, |
| "sliding_window": null, |
| "tie_word_embeddings": false, |
| "torch_dtype": "bfloat16", |
| "transformers_version": "4.51.3", |
| "use_cache": true, |
| "use_sliding_window": false, |
| "vocab_size": 151936 |
| } |
