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v0.1.0AGPL-3.0-or-later

Work on qi — a local-first text river running Granite 4.1, with research that verifies its own citations and a standalone Mac app. Covers setup, editing the codebase, the model cards, adapter conversion, the research process, and shipping.

qi-train

Convert, fine-tune or train weights for qi — chiefly converting IBM's activated LoRA safetensors to GGUF so the answerability gate costs milliseconds instead of seconds, and the pre-Granite research lane under train/. Use when asked to convert an adapter, produce activated adapters for a new model size, fine-tune anything, run a training job, or touch train/, and read it before running any GPU work for this project.

License
AGPL-3.0-or-later
Compatibility
Conversion needs Python with transformers and a llama.cpp checkout. Training needs a real GPU — never a Mac. Modal or a CUDA box.
Read SKILL.md at the source

Pinned to revision 0c2ec4d4fbbb, so it is the text this page describes rather than whatever the author pushed since.

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