Developer CLI for Blitz: pull a workflow's training data + base-model recommendation and scaffold a runnable QLoRA training container.
Project description
blitz-cli
Developer CLI for Blitz. Pull a workflow's captured traces as a fine-tuning dataset, and scaffold a self-contained, runnable QLoRA training container.
pip install blitz-cli
export BLITZ_API_KEY=blz_... # a read-scoped project key (mint one in the dashboard)
blitz scaffold -p proj_abc -w mechanic-assistant -o ./train
cd train
make build && make train
blitz scaffold writes ./train with data/dataset.jsonl and a Dockerfile +
train.py + Makefile. Bring your own NVIDIA GPU.
This package is intentionally dependency-free (stdlib + the Blitz HTTP API). The
heavy ML stack (torch / transformers / trl / peft) is pinned only in the
generated project's requirements.txt, installed inside the training image.
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