---
language:
- en
library_name: transformers
tags:
- auto-gptq
- AutoRound
license: llama3.3
---


## Model Details

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.

Details on the quantization process and how to use the model here:
[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)

![Llama 3.3 70B Instruct_ Zero-Shot MMLU (Accuracy).png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/0UOK_IsUinziw4GUMqq3_.png)
![Llama 3.3 70B Instruct_ Model Size.png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/hB8AdtD1DfVC90kOkYowz.png)

- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
- **Language(s) (NLP):** English
- **License:** Llama 3.3