Qwen3-8B-GGUF/README.md

base_model, library_name, license, license_link, pipeline_tag, tags

base_model	library_name	license	license_link	pipeline_tag	tags
Qwen/Qwen3-8B	transformers	apache-2.0	https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE	text-generation	llama-cpp gguf-my-repo

Produced by Antigma Labs, Antigma Quantize Space

Follow Antigma Labs in X https://x.com/antigma_labs

Antigma's GitHub Homepage https://github.com/AntigmaLabs

llama.cpp quantization

Using llama.cpp release b5215 for quantization. Original model: https://huggingface.co/Qwen/Qwen3-8B 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
qwen3-8b-q4_k_m.gguf	Q4_K_M	4.68 GB	False
qwen3-8b-q4_0.gguf	Q4_0	4.45 GB	False
qwen3-8b-q4_k_s.gguf	Q4_K_S	4.47 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/Antigma/Qwen3-8B-GGUF --include "qwen3-8b-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/Qwen3-8B-GGUF --include "qwen3-8b-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 (./)