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| Filename | Quant type | Description |
|---|---|---|
BgGPT-Gemma-3-27B-IT-Q4_K_M.gguf | Q4_K_M | Good balance of quality and size — recommended |
BgGPT-Gemma-3-27B-IT-Q5_K_M.gguf | Q5_K_M | High quality, slightly larger |
BgGPT-Gemma-3-27B-IT-Q6_K.gguf | Q6_K | Very high quality, near lossless |
BgGPT-Gemma-3-27B-IT-Q8_0.gguf | Q8_0 | Essentially lossless |
1# Download a specific quantization
2huggingface-cli download INSAIT-Institute/BgGPT-Gemma-3-27B-IT-GGUF \
3 --include "BgGPT-Gemma-3-27B-IT-Q4_K_M.gguf" \
4 --local-dir .
5
6# Run with llama-cli
7llama-cli -m BgGPT-Gemma-3-27B-IT-Q4_K_M.gguf \
8 -p "Кога е основан Софийският университет?" \
9 -n 512Modelfile:FROM ./BgGPT-Gemma-3-27B-IT-Q4_K_M.gguf1ollama create bggpt-gemma3-27b -f Modelfile
2ollama run bggpt-gemma3-27bBgGPT-Gemma-3-27B-IT-GGUF in the model browser, or download a GGUF file manually and load it.1# Download all quantizations
2huggingface-cli download INSAIT-Institute/BgGPT-Gemma-3-27B-IT-GGUF
3
4# Download a specific file
5huggingface-cli download INSAIT-Institute/BgGPT-Gemma-3-27B-IT-GGUF \
6 --include "BgGPT-Gemma-3-27B-IT-Q4_K_M.gguf" \
7 --local-dir .