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internlm2_5-7b-chat-int4-sym-inc

Safetensors
internlm2
custom_code
4-bit precision
intel/auto-round
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internlm2_5-7b-chat-int4-sym-inc
File size: 2,490 Bytes 
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{
  "_name_or_path": "/models/internlm2_5-7b-chat",
  "architectures": [
    "InternLM2ForCausalLM"
  ],
  "attn_implementation": "eager",
  "auto_map": {
    "AutoConfig": "configuration_internlm2.InternLM2Config",
    "AutoModel": "modeling_internlm2.InternLM2ForCausalLM",
    "AutoModelForCausalLM": "modeling_internlm2.InternLM2ForCausalLM"
  },
  "bias": false,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 32768,
  "model_type": "internlm2",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "quantization_config": {
    "amp": true,
    "autoround_version": "0.4.2.dev",
    "backend": "auto_round:gptq:exllamav2",
    "batch_size": 8,
    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "gradient_accumulate_steps": 1,
    "group_size": 128,
    "iters": 1000,
    "low_gpu_mem_usage": false,
    "lr": 0.001,
    "minmax_lr": 0.001,
    "nsamples": 512,
    "quant_method": "intel/auto-round",
    "scale_dtype": "torch.float16",
    "seqlen": 2048,
    "sym": true,
    "to_quant_block_names": [
      [
        "model.layers.0",
        "model.layers.1",
        "model.layers.2",
        "model.layers.3",
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        "model.layers.30",
        "model.layers.31"
      ]
    ]
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 2.0,
    "type": "dynamic"
  },
  "rope_theta": 1000000,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.46.3",
  "use_cache": true,
  "vocab_size": 92544
}