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README.md
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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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# The Quantized E5-mistral-7b-instruct Model
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Original Base Embedding Model: `intfloat/e5-mistral-7b-instruct`.<br>
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Link: [https://huggingface.co/intfloat/e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct)
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## Quantization Configurations
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```text
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"quantization_config": {
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"bits": 4,
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"checkpoint_format": "gptq",
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"damp_percent": 0.01,
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"desc_act": true,
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"group_size": 128,
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"model_file_base_name": null,
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"model_name_or_path": null,
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"quant_method": "gptq",
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"static_groups": false,
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"sym": true,
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"true_sequential": true
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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).
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