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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ # The Quantized Mixtral 8x7B MoE Instruct v0.1 Model
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+
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+ Original Base Model: `mistralai/Mixtral-8x7B-Instruct-v0.1`.<br>
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+ Link: [https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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+
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+ ## Quantization Configurations
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+ ```
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+ "quantization_config": {
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+ "batch_size": 1,
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+ "bits": 4,
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+ "block_name_to_quantize": null,
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+ "cache_block_outputs": true,
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+ "damp_percent": 0.1,
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+ "dataset": null,
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+ "desc_act": false,
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+ "exllama_config": {
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+ "version": 1
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+ },
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+ "group_size": 128,
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+ "max_input_length": null,
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+ "model_seqlen": null,
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+ "module_name_preceding_first_block": null,
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+ "modules_in_block_to_quantize": null,
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+ "pad_token_id": null,
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+ "quant_method": "gptq",
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+ "sym": true,
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+ "tokenizer": null,
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+ "true_sequential": true,
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+ "use_cuda_fp16": false,
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+ "use_exllama": true
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+ },
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+ ```
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+
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+ ## Source Codes
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+ Source Codes: [https://github.com/vkola-lab/medpodgpt/tree/main/quantization](https://github.com/vkola-lab/medpodgpt/tree/main/quantization).