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Llama-3.1-8B-Instruct-quantized.w8a8

Text Generation
Safetensors
llama
int8
vllm
conversational
8-bit precision
compressed-tensors
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Llama-3.1-8B-Instruct-quantized.w8a8
File size: 2,145 Bytes 
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{
  "_name_or_path": "/network/alexandre/models/meta_llama__Meta-Llama-3.1-8B-Instruct",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "eos_token_id": [
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    128008,
    128009
  ],
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 14336,
  "max_position_embeddings": 131072,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 8.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3"
  },
  "rope_theta": 500000.0,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.43.1",
  "use_cache": true,
  "vocab_size": 128256,
  "quantization_config": {
    "config_groups": {
      "group_0": {
        "input_activations": {
          "block_structure": null,
          "dynamic": true,
          "group_size": null,
          "num_bits": 8,
          "observer": "memoryless",
          "observer_kwargs": {},
          "strategy": "token",
          "symmetric": true,
          "type": "int"
        },
        "output_activations": null,
        "targets": [
          "Linear"
        ],
        "weights": {
          "block_structure": null,
          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "channel",
          "symmetric": true,
          "type": "int"
        }
      }
    },
    "format": "int-quantized",
    "global_compression_ratio": 1.239290831149584,
    "ignore": [
      "lm_head"
    ],
    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "frozen",
    "sparsity_config": {
      "format": "dense",
      "global_sparsity": 1.2473729422557387,
      "registry_requires_subclass": false,
      "sparsity_structure": "unstructured"
    }
  }
}