README.md

---
language:
- en
library_name: transformers
tags:
- autoround
license: apache-2.0
base_model:
- Qwen/QwQ-32B
---



## Model Details

This is [Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) 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.
The model is compatible with vLLM and Transformers.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/JUOJJ74dlTbvTlAGWvcmC.png)

Details on the quantization process and how to use the model here: [The Kaitchup](https://kaitchup.substack.com/)

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

## How to Support My Work
Subscribe to [The Kaitchup](https://kaitchup.substack.com/subscribe). This helps me a lot to continue quantizing and evaluating models for free.