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SauerkrautLM-7B-v1-mistral-GPTQ

Text Generation
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mistral
text-generation-inference
4-bit precision
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SauerkrautLM-7B-v1-mistral-GPTQ
File size: 1,323 Bytes 
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{
    "_name_or_path": "/workspace/process/vagosolutions_sauerkrautlm-7b-v1-mistral/source",
    "architectures": [
        "MistralForCausalLM"
    ],
    "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": "mistral",
    "num_attention_heads": 32,
    "num_hidden_layers": 32,
    "num_key_value_heads": 8,
    "pad_token_id": 0,
    "pretraining_tp": 1,
    "quantization_config": {
        "batch_size": 1,
        "bits": 4,
        "block_name_to_quantize": "model.layers",
        "damp_percent": 0.1,
        "desc_act": true,
        "disable_exllama": false,
        "group_size": 128,
        "max_input_length": null,
        "model_seqlen": 4096,
        "module_name_preceding_first_block": [
            "model.embed_tokens"
        ],
        "pad_token_id": null,
        "quant_method": "gptq",
        "sym": true,
        "tokenizer": null,
        "true_sequential": true,
        "use_cuda_fp16": true
    },
    "rms_norm_eps": 1e-05,
    "rope_theta": 10000.0,
    "sliding_window": 4096,
    "tie_word_embeddings": false,
    "torch_dtype": "float16",
    "transformers_version": "4.34.0",
    "use_cache": true,
    "vocab_size": 32000
}