Bailian fine-tuning pipeline (

bl dataset

/

bl finetune

/

bl deploy

)

CRITICAL — Before executing, MUST read the shared protocol in

../bailian-protocol/SKILL.md

Version & updates (pre-flight checklist), Setup & auth, and CLI errors: report an issue. Command details are authoritative in reference/ (dataset / finetune / deploy) and bl --help — do not guess flags. The whole pipeline requires an API key. If that protocol file is missing, stop and run npx skills add modelstudioai/cli --all -g ; do not guess auth/consent. End-to-end workflow (follow in order) 1. Validate data bl dataset validate --file train.jsonl [--schema chatml|dpo|cpt|tts|image] 2. Upload data bl dataset upload --file train.jsonl # returns a file-id 3. Create job bl finetune text|audio|image create --model <base> --datasets 4. Watch progress bl finetune watch --job-id ft-xxx # or get / logs 5. Pick artifact bl finetune checkpoints --job-id ft-xxx 6. Export model bl finetune export --job-id ft-xxx --checkpoint ckpt-N --model-name my-model 7. Deploy service bl deploy text|audio|image create --model my-model --name my-svc Show more Installs 903 Repository modelstudioai/cli GitHub Stars 296 First Seen 8 days ago Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn