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---
language:
- en
library_name: transformers
tags:
- auto-gptq
- AutoRound
license: apache-2.0
---
## Model Details
This is [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 2-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)
It is possible to fine-tune an adapter on top of it following the QLoRA methodology. More about this here:
[QLoRA with AutoRound: Cheaper and Better LLM Fine-tuning on Your GPU](https://newsletter.kaitchup.com/p/qlora-with-autoround-cheaper-and)
- **Developed by:** [The Kaitchup](https://newsletter.kaitchup.com/)
- **Language(s) (NLP):** English
- **License:** Apache 2.0 license |