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---
base_model: Qwen/QwQ-32B
pipeline_tag: text-generation
inference: true
language:
- en
license: apache-2.0
model_creator: Qwen
model_name: QwQ-32B
model_type: qwen2
quantized_by: brittlewis12
tags:
- reasoning
- qwen2
---
# QwQ 32B GGUF
<video loop="" src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/QwQ.mp4" autoplay=""></video>
**Original model**: [QwQ 32B](https://huggingface.co/Qwen/QwQ-32B)
**Model creator**: [Qwen](https://huggingface.co/Qwen)
> QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.
This repo contains GGUF format model files for Qwen’s QwQ 32B. Learn more on Qwen’s [QwQ 32B blog post](https://qwenlm.github.io/blog/qwq-32b/).
### What is GGUF?
GGUF is a file format for representing AI models. It is the third version of the format,
introduced by the llama.cpp team on August 21st 2023.
Converted with llama.cpp build b4831 (revision [5e43f10](https://github.com/ggml-org/llama.cpp/commits/5e43f104cca1a14874e980326a506b44fde022b8)),
using [autogguf-rs](https://github.com/brittlewis12/autogguf-rs).
### Prompt template: [ChatML (with `<think>` tokens)](https://huggingface.co/Qwen/QwQ-32B/blob/main/tokenizer_config.json#L230)
```
<|im_start|>system
{{system_message}}<|im_end|>
<|im_start|>user
{{prompt}}<|im_end|>
<|im_start|>assistant
<think>
```
### Note: re: split f16 model files
To merge the split model files for the f16 precision GGUFs, you can run the `llama-gguf-split` command that comes included when you build llama.cpp & [its examples](https://github.com/ggml-org/llama.cpp/tree/5e43f104cca1a14874e980326a506b44fde022b8/examples/gguf-split).
It accepts the path to the first of the downloaded splits, assuming the rest are alongside it, and an output path. For example:
```sh
# from your llama.cpp directory:
$ cmake -B build
$ cmake --build build --config Release
$ ./build/bin/llama-gguf-split --merge \
~/Downloads/qwq-32b.f16.split-00001-of-00002.gguf \
~/Downloads/qwq-32b.f16.gguf
```
---
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[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
- create & save **Characters** with custom system prompts & temperature settings
- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
* or, use an API key with the chat completions-compatible model provider of your choice -- ChatGPT, Claude, Gemini, DeepSeek, & more!
- make it your own with custom **Theme colors**
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- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
* if you **already have the app**, download QwQ 32B now!
* <cnvrsai:///models/search/hf?id=brittlewis12/QwQ-32B-GGUF>
- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date
### QwQ 32B in cnvrs on macOS
---
## Original Model Evaluation
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