Produced by Antigma Labs
llama.cpp quantization
Using llama.cpp release b4944 for quantization.
Original model: https://huggingface.co/Qwen/QwQ-32B
Run them directly with llama.cpp, or any other llama.cpp based project
Prompt format
<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><｜end▁of▁sentence｜><｜Assistant｜>
Download a file (not the whole branch) from below:
Downloading using huggingface-cli
Click to view download instructions
First, make sure you have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Then, you can target the specific file you want:
```
huggingface-cli download https://huggingface.co/Brianpuz/QwQ-32B-Q2_K-GGUF --include "qwq-32b-q2_k.gguf" --local-dir ./
```
If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download https://huggingface.co/Brianpuz/QwQ-32B-Q2_K-GGUF --include "qwq-32b-q2_k.gguf/*" --local-dir ./
```
You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)
