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README.md
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# TinyBrowser GNM (Goal Navigation Model)
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Lightweight CNN for on-device browser action prediction.
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Takes V3 semantic grid [1,32,64,8] + goal vector [1,64] → heatmap + 13 action classes.
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## Architecture
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- Input: V3 Frame (uint8) + Goal embedding (float32)
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- Output: Heatmap [1,1,32,64] (WHERE) + Action logits [1,13] (WHAT)
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- Inference: <0.5ms on Hexagon HTP, <5ms on CPU
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## Files
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- `gnm_best.pth` — PyTorch checkpoint
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- `gnm_fp32.onnx` — ONNX for ONNX Runtime (QNN EP / NNAPI / CPU)
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