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  This is [DeepSeek-R1-Distill-Qwen-7B](deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 4-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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  - **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
 
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  This is [DeepSeek-R1-Distill-Qwen-7B](deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 4-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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+ [DeepSeek-R1: Reinforcement Learning with Simple and Verifiable Rewards](https://kaitchup.substack.com/p/deepseek-r1-reinforcement-learning)
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  - **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)