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Fine-Tuning Pipeline
$9.99Fine-tuning an LLM shouldn't take a week of data wrangling. This pipeline handles everything from raw data to a submitted training job: clean and validate your dataset, format it into JSONL training pairs, run quality checks, estimate cost, upload to the provider, and monitor job status — all from the CLI.
What’s Included
- Dataset formatter: convert CSV/JSON/raw text to JSONL chat-completion format
- Quality checker: validates token counts, format, duplicate detection
- Cost estimator: token count per example × provider rate
- File upload and fine-tune job submission via OpenAI API
- Job status polling with progress display and completion notification
- Model listing and fine-tuned model testing harness
- CLI commands for each pipeline stage; importable as module
- Example dataset, README, and MIT License
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🔒 Secure checkout via Stripe · Instant digital download · Python 3.10+ · MIT License