---
language:
- en
library_name: transformers
tags:
- auto-gptq
- AutoRound
license: apache-2.0
---


## Model Details

This is [allenai/Llama-3.1-Tulu-3-8B](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B) 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:
[The Recipe for Extremely Accurate and Cheap Quantization of 70B+ LLMs](https://kaitchup.substack.com/p/the-recipe-for-extremely-accurate-quantization)


![MMLU.png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/axSxMTnk4YslAdMTBsRGu.png)


![Model Size.png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/kqjSAF1aCp-4ZWXhWLuee.png)


- **Developed by:** [The Kaitchup](https://newsletter.kaitchup.com/)
- **Language(s) (NLP):** English
- **License:** Apache 2.0 license