Brianpuz/gemma-3-1b-it-Q4_K_M-GGUF

Produced by Antigma Labs

llama.cpp quantization

Using llama.cpp release b4944 for quantization. Original model: https://huggingface.co/google/gemma-3-1b-it 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
gemma-3-1b-it-q4_k_m.gguf	Q4_K_M	0.75 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/gemma-3-1b-it-Q4_K_M-GGUF --include "gemma-3-1b-it-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/gemma-3-1b-it-Q4_K_M-GGUF --include "gemma-3-1b-it-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 (./)