Maia Chess ONNX Models (Opset 15)
Pre-converted ONNX models of Maia chess neural network weights, downgraded from opset 17 to opset 15 for compatibility with ONNX Runtime Web.
Models
| File | ELO | Description |
|---|---|---|
| maia-1100-opset15.onnx | 1100 | Beginner-level human play |
| maia-1200-opset15.onnx | 1200 | Beginner human play |
| maia-1300-opset15.onnx | 1300 | Casual human play |
| maia-1500-opset15.onnx | 1500 | Intermediate human play |
| maia-1600-opset15.onnx | 1600 | Intermediate-advanced |
| maia-1700-opset15.onnx | 1700 | Advanced human play |
| maia-1800-opset15.onnx | 1800 | Strong club player |
| maia-1900-opset15.onnx | 1900 | Strong human play |
Tensor Specs
- Input:
input—[batch, 112, 8, 8]float32 (lc0 board encoding) - Output:
pol_flat—[batch, 5120]float32 (convolutional policy, apply policy map for 1858 moves) - Output:
wdl—[batch, 3]float32 (win, draw, loss probabilities)
Source
Original weights from shermansiu/maia-* on HuggingFace (opset 17).
Converted using onnx.version_converter.convert_version(model, 15).
Used by CrispChess (MIT licensed chess app).
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