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Add README with ZeroGPU setup instructions
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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)