Using llama.cpp release b5215 for quantization. Original model: https://huggingface.co/Qwen/Qwen3-30B-A3B 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
qwen3-30b-a3b-q4_k_m.gguf	Q4_K_M	17.28 GB	False
qwen3-30b-a3b-q4_0.gguf	Q4_0	16.12 GB	False
qwen3-30b-a3b-q4_k_s.gguf	Q4_K_S	16.26 GB	False

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/Antigma/Qwen3-30B-A3B-GGUF --include "qwen3-30b-a3b-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/Antigma/Qwen3-30B-A3B-GGUF --include "qwen3-30b-a3b-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 (./)