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TheBloke
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bagel-8x7b-v0.2-GPTQ

Text Generation
Transformers
Safetensors
mixtral
conversational
text-generation-inference
4-bit precision
gptq
Model card Files Community
bagel-8x7b-v0.2-GPTQ
File size: 2,708 Bytes 
32eb6b0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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    ],
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    "bos_token_id": 1,
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    "hidden_act": "silu",
    "hidden_size": 4096,
    "initializer_range": 0.02,
    "intermediate_size": 14336,
    "max_position_embeddings": 32768,
    "model_type": "mixtral",
    "num_attention_heads": 32,
    "num_experts_per_tok": 2,
    "num_hidden_layers": 32,
    "num_key_value_heads": 8,
    "num_local_experts": 8,
    "output_router_logits": false,
    "pad_token_id": 0,
    "pretraining_tp": 1,
    "rms_norm_eps": 1e-05,
    "rope_theta": 1000000.0,
    "router_aux_loss_coef": 0.02,
    "sliding_window": null,
    "tie_word_embeddings": false,
    "torch_dtype": "bfloat16",
    "transformers_version": "4.36.2",
    "use_cache": true,
    "vocab_size": 32000,
    "quantization_config": {
        "bits": 4,
        "group_size": -1,
        "damp_percent": 0.1,
        "desc_act": true,
        "static_groups": false,
        "sym": true,
        "true_sequential": true,
        "model_name_or_path": null,
        "model_file_base_name": "model",
        "quant_method": "gptq",
        "modules_in_block_to_quantize": [
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            ],
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            ],
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                "block_sparse_moe.experts.0.w3",
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                "block_sparse_moe.experts.4.w3",
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            [
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                "block_sparse_moe.experts.1.w2",
                "block_sparse_moe.experts.2.w2",
                "block_sparse_moe.experts.3.w2",
                "block_sparse_moe.experts.4.w2",
                "block_sparse_moe.experts.5.w2",
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                "block_sparse_moe.experts.7.w2"
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        ]
    }
}