llama.cpp quantization
Using llama.cpp release b4944 for quantization.
Original model: https://huggingface.co/alamios/Mistral-Small-3.1-DRAFT-0.5B
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:
| Filename | Quant type | File Size | Split |
|---|---|---|---|
| mistral-small-3.1-draft-0.5b-q4_k_m.gguf | Q4_K_M | 0.43 GB | False |
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/Mistral-Small-3.1-DRAFT-0.5B-Q4_K_M-GGUF --include "mistral-small-3.1-draft-0.5b-q4_k_m.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/Mistral-Small-3.1-DRAFT-0.5B-Q4_K_M-GGUF --include "mistral-small-3.1-draft-0.5b-q4_k_m.gguf/*" --local-dir ./
You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)