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FunAGI
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LLaDA-8B-Instruct-gptqmodel-4bit

Text Generation
Safetensors
llada
gptqmodel
FunAGI
int4
conversational
custom_code
4-bit precision
gptq
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LLaDA-8B-Instruct-gptqmodel-4bit
File size: 1,985 Bytes 
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{
  "_name_or_path": "/home/chentianqi/model/GSAI-ML/LLaDA-8B-Instruct",
  "activation_type": "silu",
  "alibi": false,
  "alibi_bias_max": 8.0,
  "architectures": [
    "LLaDAModelLM"
  ],
  "attention_dropout": 0.0,
  "attention_layer_norm": false,
  "attention_layer_norm_with_affine": true,
  "auto_map": {
    "AutoConfig": "configuration_llada.LLaDAConfig",
    "AutoModel": "modeling_llada.LLaDAModelLM",
    "AutoModelForCausalLM": "modeling_llada.LLaDAModelLM"
  },
  "bias_for_layer_norm": false,
  "block_group_size": 1,
  "block_type": "llama",
  "d_model": 4096,
  "embedding_dropout": 0.0,
  "embedding_size": 126464,
  "eos_token_id": 126081,
  "flash_attention": false,
  "include_bias": false,
  "include_qkv_bias": false,
  "init_cutoff_factor": null,
  "init_device": "meta",
  "init_fn": "mitchell",
  "init_std": 0.02,
  "input_emb_norm": false,
  "layer_norm_type": "rms",
  "layer_norm_with_affine": true,
  "mask_token_id": 126336,
  "max_sequence_length": 4096,
  "mlp_hidden_size": 12288,
  "mlp_ratio": 4,
  "model_type": "llada",
  "multi_query_attention": null,
  "n_heads": 32,
  "n_kv_heads": 32,
  "n_layers": 32,
  "pad_token_id": 126081,
  "precision": "amp_bf16",
  "quantization_config": {
    "bits": 4,
    "checkpoint_format": "gptq",
    "desc_act": true,
    "group_size": 128,
    "lm_head": false,
    "meta": {
      "damp_auto_increment": 0.0025,
      "damp_percent": 0.01,
      "mse": 0.0,
      "quantizer": [
        "gptqmodel:2.0.0-dev"
      ],
      "static_groups": false,
      "true_sequential": true,
      "uri": "https://github.com/modelcloud/gptqmodel"
    },
    "pack_dtype": "int32",
    "quant_method": "gptq",
    "sym": false
  },
  "residual_dropout": 0.0,
  "rms_norm_eps": 1e-05,
  "rope": true,
  "rope_full_precision": true,
  "rope_theta": 500000.0,
  "scale_logits": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.38.2",
  "use_cache": false,
  "vocab_size": 126464,
  "weight_tying": false
}