Joshua Sundance Bailey
loosecanvas: local AI thought-mapping canvas with a trust-tagged knowledge graph
6d1438c models/
Place the GGUF model file for the local llama.cpp server in this directory.
Which file
Download the main model from the public Hugging Face repo:
- Repo:
unsloth/gemma-4-26B-A4B-it-qat-GGUF - File:
gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf
The filename must match GEMMA_MODEL_FILENAME in your .env (see .env.example).
If you use a different quantization, set GEMMA_MODEL_FILENAME to the file you
downloaded so the server can find it.
How it is used
docker-compose.yaml mounts this directory into the llama.cpp container at
/models, and the server is launched with -m /models/${GEMMA_MODEL_FILENAME}.
Once the GGUF file sits here with the matching name, docker compose up will
serve it.
This directory is otherwise git-ignored (only this README is tracked) — model files are large and are not committed.