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| title: PhD Research OS - Model Training | |
| emoji: 🧠 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: "5.32.0" | |
| app_file: app.py | |
| pinned: false | |
| suggested_hardware: zero-a10g | |
| # 🧠 PhD Research OS — ZeroGPU Training | |
| Train the Research OS brain (Qwen2.5-3B-Instruct + QLoRA) using free ZeroGPU H200. | |
| ## Setup | |
| 1. Go to Space Settings → Hardware → Select **ZeroGPU** | |
| 2. Click "Train Micro-Batch" — each click trains ~20 steps in ~55 seconds | |
| 3. Click multiple times to accumulate training | |
| 4. Test with the inference tab | |
| 5. Push to Hub when satisfied | |
| ## How It Works | |
| ZeroGPU gives 60-second GPU bursts. This Space trains in micro-batches: | |
| - Each click = 20 gradient steps on H200 GPU | |
| - Checkpoint saved after each batch | |
| - Next click resumes from checkpoint | |
| - ~200 total steps recommended (click ~10 times) | |