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.
Pinned to revision 0c2ec4d4fbbb, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/qi-train/SKILL.md
- skills/qi-train/references/alora-conversion.md
- skills/qi-train/references/research-lane.md
Every link opens the file at its source, pinned to the revision this page describes.