§ Training · Model Fine-Tuning Pipeline
Fine-Tune Models on Custom Data
Upload datasets, configure training parameters, and monitor fine-tuning progress in real-time.
Upload Dataset
Configure Parameters
Train Model
Upload Training Dataset
JSONL format (one JSON object per line). Minimum 100 samples recommended.
Click to upload or drag and drop
JSONL files up to 100MB
Expected Format
{"prompt": "What is AI?", "completion": "AI is artificial intelligence..."}
{"prompt": "Explain ML", "completion": "Machine learning is a subset..."}Training History
| Model | Dataset | Status | Accuracy | Trained |
|---|---|---|---|---|
| llama-3.2-3b | customer_support_2k.jsonl | Complete | 94.2% | 4/19/2026 |
| mistral-7b | product_qa_1k.jsonl | Complete | 91.8% | 4/18/2026 |
🚀 How it works: Upload your JSONL dataset (min 100 samples), configure learning rate and epochs, then start training. Fine-tuning takes 15-60 minutes depending on dataset size. Once complete, your model appears in the Model Library for deployment.