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

Text Generation
Transformers
Safetensors
llama
int8
vllm
conversational
text-generation-inference
Inference Endpoints
8-bit precision
compressed-tensors
Model card Files Community
2
Meta-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"
  ],
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  "intermediate_size": 14336,
  "max_position_embeddings": 131072,
  "mlp_bias": false,
  "model_type": "llama",
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  "num_hidden_layers": 32,
  "num_key_value_heads": 8,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-05,
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    "rope_type": "llama3"
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  "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": {
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          "dynamic": true,
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          "num_bits": 8,
          "observer": "memoryless",
          "observer_kwargs": {},
          "strategy": "token",
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          "type": "int"
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        "output_activations": null,
        "targets": [
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        ],
        "weights": {
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          "num_bits": 8,
          "observer": "minmax",
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          "strategy": "channel",
          "symmetric": true,
          "type": "int"
        }
      }
    },
    "format": "int-quantized",
    "global_compression_ratio": 1.239290831149584,
    "ignore": [
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    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "frozen",
    "sparsity_config": {
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      "registry_requires_subclass": false,
      "sparsity_structure": "unstructured"
    }
  }
}