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⚡ Dataset Control Panel
Convert your completed SV & UVM coding solutions into JSON datasets optimized for instruction fine-tuning Gemma models.
📥 Import Progress Backup
Paste previously exported Raw Backup JSON text below to restore your responses and study progress.
📊 Answers Review Database
Review, verify status and edit confidence ratings of your collected verification items.
| Category | ID | Status | Confidence | Size | Action |
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🧬 Fine-Tune Gemma in Google Colab
1
Download Prepared Files: Click
Download JSONL for the dataset and Download .ipynb Notebook below for our custom Gemma fine-tuning & comparison notebook.
2
Upload to Google Colab: Click
🚀 Open Google Colab Upload below and select your downloaded gemma_finetune_and_compare.ipynb file.
3
Run Training & Comparison: Run all cells on Google Colab's Free T4 GPU to train LoRA adapters and evaluate base vs. fine-tuned model code generation!
👁️ Gemma Prompt Live Previewer
Select one of your completed questions below to see the exact structured prompt that will be generated for Gemma model training.
📄 Generated SFT JSON Object