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--- |
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language: |
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- en |
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library_name: transformers |
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tags: |
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- auto-gptq |
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- AutoRound |
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license: apache-2.0 |
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--- |
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## Model Details |
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This is [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 2-bit. The model has been created, tested, and evaluated by The Kaitchup. |
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Details on the quantization process and how to use the model here: |
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[The Recipe for Extremely Accurate and Cheap Quantization of 70B+ LLMs](https://kaitchup.substack.com/p/the-recipe-for-extremely-accurate-quantization) |
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It is possible to fine-tune an adapter on top of it following the QLoRA methodology. More about this here: |
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[QLoRA with AutoRound: Cheaper and Better LLM Fine-tuning on Your GPU](https://newsletter.kaitchup.com/p/qlora-with-autoround-cheaper-and) |
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- **Developed by:** [The Kaitchup](https://newsletter.kaitchup.com/) |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 license |
