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This is [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) quantized with AutoRound (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 quantization process, evaluation, and how to use the model here:
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[The Best Quantization Methods to Run Llama 3.1 on Your GPU](https://kaitchup.
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- **Developed by:** [The Kaitchup](https://kaitchup.
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- **Language(s) (NLP):** English
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- **License:** cc-by-4.0
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This is [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) quantized with AutoRound (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 quantization process, evaluation, and how to use the model here:
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[The Best Quantization Methods to Run Llama 3.1 on Your GPU](https://newsletter.kaitchup.com/p/the-best-quantization-methods-to)
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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:** cc-by-4.0
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