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README.md
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---
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license: other
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license_name: qwen
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license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
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base_model:
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- Qwen/Qwen2.5-32B-Instruct
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base_model_relation: quantized
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tags:
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- VPTQ
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- Quantized
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- Quantization
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---
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license: other
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license_name: qwen
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license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
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base_model:
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- Qwen/Qwen2.5-32B-Instruct
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base_model_relation: quantized
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tags:
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- VPTQ
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- Quantized
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- Quantization
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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---
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**Disclaimer**:
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The model is reproduced based on the paper *VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models* [github](https://github.com/microsoft/vptq) and [arXiv](https://arxiv.org/abs/2409.17066)
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The model itself is sourced from a community release.
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It is intended only for experimental purposes.
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Users are responsible for any consequences arising from the use of this model.
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**Note**:
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The PPL test results are for reference only and were collected using GPTQ testing script.
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```json
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{
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"ctx_2048": {
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"wikitext2": 5.477140426635742
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},
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"ctx_4096": {
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"wikitext2": 5.039302825927734
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},
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"ctx_8192": {
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"wikitext2": 4.777985572814941
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}
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}
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```
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