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Yuan2-M32-hf-int4

Text Generation
Transformers
yuan
custom_code
4-bit precision
gptq
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Yuan2-M32-hf-int4
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{
  "_from_model_config": true,
  "_name_or_path": "/temp_data/LLM_test/MOE/Yuan2-M32",
  "architectures": [
    "YuanForCausalLM"
  ],
  "attention_projection_size": 4096,
  "auto_map": {
    "AutoConfig": "configuration_yuan.YuanConfig",
    "AutoModelForCausalLM": "yuan_hf_model.YuanForCausalLM"
  },
  "bos_token_id": 77185,
  "causal_mask": true,
  "dropout": 0,
  "eod_token": 77185,
  "eod_token_id": 77185,
  "eos_token_id": 77185,
  "hidden_act": "silu",
  "hidden_size": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 8192,
  "mask_token_id": 77185,
  "max_position_embeddings": 4096,
  "model_max_length": 8192,
  "model_type": "yuan",
  "moe_config": {
    "ffn_hidden_size": 8192,
    "gated_linear_unit": true,
    "moe_num_experts": 32,
    "moe_top_k": 2,
    "norm_topk_prob": true
  },
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_router_logits": true,
  "pad_token_id": 77185,
  "quantization_config": {
    "disable_exllama": true,
    "bits": 4,
    "checkpoint_format": "gptq",
    "damp_percent": 0.01,
    "desc_act": false,
    "group_size": 128,
    "model_file_base_name": "gptq_model-4bit-128g",
    "model_name_or_path": "/temp_data/LLM_test/MOE/Yuan2-M32-int4-hf",
    "quant_method": "gptq",
    "static_groups": false,
    "sym": true,
    "true_sequential": true
  },
  "reset_attention_mask": false,
  "reset_position_ids": true,
  "rms_norm_eps": 1e-06,
  "sep_token": 77187,
  "sep_token_id": 77185,
  "tokenizer_class": "YuanTokenizer",
  "torch_dtype": "bfloat16",
  "transformers_version": "4.39.3",
  "use_cache": true,
  "use_flash_attention": true,
  "use_loss_mask": false,
  "use_moe": true,
  "vocab_size": 135040
}