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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: llama3.3 |
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--- |
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## Model Details |
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This is [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) 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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[How to Quantize and Run Llama 3.3 70B Instruct on Your GPU](https://kaitchup.substack.com/p/how-to-quantize-and-run-llama-33) |
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![Llama 3.3 70B Instruct_ Zero-Shot MMLU (Accuracy).png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/0UOK_IsUinziw4GUMqq3_.png) |
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![Llama 3.3 70B Instruct_ Model Size.png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/hB8AdtD1DfVC90kOkYowz.png) |
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- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/) |
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- **Language(s) (NLP):** English |
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- **License:** Llama 3.3 |