arkorlab / fine-tuning
The Best TypeScript framework for fine-tuning
Why this job: says: fine tuning; topics: fine-tuning, lora
What it does
- Fine-tuning from a TypeScript file. createTrainer({ model, dataset, lora, ... }) configured LoRA training against a supported base model.
- Three curated templates. triage, translate, and redaction paired a Gemma 4 base model with public HuggingFace datasets.
- Typed lifecycle callbacks. onStarted, onLog, onCheckpoint, onCompleted, and onFailed exposed training events to application code.
- Checkpoint inference. Inside onCheckpoint, infer({ messages }) could test a checkpoint while training was still running.
- Local Studio. arkor dev opened a web UI with a jobs list, loss chart, logs, and a Playground.
Get started
pnpm create arkor my-arkor-app
cd my-arkor-app
pnpm dev- Maintenance
- Active
- Last commit 20 days ago
- Stars
- 146
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 10 releases
- None marked latest
- Built with
- TypeScript
- 100% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 25% closed
- 6 still open
- Pull requests
- 184 merged
- 74 waiting
- Releases
- 10
- 10 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- TypeScript 100%
- JavaScript <1%
- HTML <1%
- CSS <1%
Topics
- ai
- developer-tools
- fine-tuning
- gpu
- javascript
- llm
- lora
- ml
- mlops
- nextjs
- nodejs
- open-weight-models
Project record
- JobFine-tuning
- StatusListed
- Commits1,172
- Forks16
- Watching2
- Stars in 28 days+2
- CreatedApr 15, 2026
- First seen by usNov 7, 2026
- CheckedNov 10, 2026