|
{ |
|
"_name_or_path": "/data5/models/Qwen2-57B-A14B-Instruct", |
|
"architectures": [ |
|
"Qwen2MoeForCausalLM" |
|
], |
|
"attention_dropout": 0.0, |
|
"bos_token_id": 151643, |
|
"decoder_sparse_step": 1, |
|
"eos_token_id": 151643, |
|
"hidden_act": "silu", |
|
"hidden_size": 3584, |
|
"initializer_range": 0.02, |
|
"intermediate_size": 18944, |
|
"max_position_embeddings": 32768, |
|
"max_window_layers": 28, |
|
"mlp_only_layers": [], |
|
"model_type": "qwen2_moe", |
|
"moe_intermediate_size": 2560, |
|
"norm_topk_prob": false, |
|
"num_attention_heads": 28, |
|
"num_experts": 64, |
|
"num_experts_per_tok": 8, |
|
"num_hidden_layers": 28, |
|
"num_key_value_heads": 4, |
|
"output_router_logits": false, |
|
"quantization_config": { |
|
"amp": true, |
|
"autoround_version": "0.3.1.dev", |
|
"backend": "auto_round:gptq:exllamav2", |
|
"bits": 4, |
|
"data_type": "int", |
|
"dataset": "NeelNanda/pile-10k", |
|
"enable_minmax_tuning": true, |
|
"enable_norm_bias_tuning": false, |
|
"enable_quanted_input": true, |
|
"extra_config": { |
|
"model.layers.0.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.1.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.10.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.11.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.12.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.13.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.14.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.15.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.16.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.17.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.18.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.19.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.2.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.20.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.21.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.22.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.23.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.24.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.25.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.26.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.27.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.3.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.4.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.5.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.6.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.7.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.8.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
}, |
|
"model.layers.9.mlp.shared_expert_gate": { |
|
"bits": 32, |
|
"data_type": "float", |
|
"group_size": null, |
|
"sym": null |
|
} |
|
}, |
|
"gradient_accumulate_steps": 1, |
|
"group_size": 128, |
|
"iters": 1000, |
|
"low_gpu_mem_usage": false, |
|
"lr": 0.001, |
|
"minmax_lr": 0.001, |
|
"nsamples": 512, |
|
"quant_block_list": null, |
|
"quant_method": "intel/auto-round", |
|
"scale_dtype": "torch.float16", |
|
"seqlen": 2048, |
|
"sym": true, |
|
"train_bs": 8 |
|
}, |
|
"rms_norm_eps": 1e-06, |
|
"rope_theta": 1000000.0, |
|
"router_aux_loss_coef": 0.001, |
|
"shared_expert_intermediate_size": 20480, |
|
"sliding_window": null, |
|
"tie_word_embeddings": false, |
|
"torch_dtype": "float16", |
|
"transformers_version": "4.44.2", |
|
"use_cache": true, |
|
"use_sliding_window": false, |
|
"vocab_size": 151936 |
|
} |
|
|