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Test-S1-No-SP
CyanMonkey/Test-S1-No-SP
Test-S1-No-SP is a reinforcement learning model from CyanMonkey. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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45M
180 MB on disk
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.safetensors180 MB · 100%
At a glance
- Task
- Reinforcement Learning
- License
- mit
- Model type
- chessnet
- Access
- Public
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026
- SHA
- 235065d8
Model card
From the Hugging Face model README
#Chess Engine
Custom chess neural network trained on high-elo Lichess games.
Architecture
- Backbone: ResNet with 10 blocks, 128 channels
- Parameters: 44.98M
- Policy Head: 20480 move logits
- Value Head: Win probability [-1, 1]
Training
- Phase 1: Supervised learning on 1800+ Elo games
- Phase 2: Self-play reinforcement learning
Board Encoding
- 19 input planes (12 piece planes + side to move + castling + en passant + move clock)
- 8x8 board representation
Move Encoding
- Flat index: (from_square * 64 + to_square) * 5 + promotion_type
- Total vocabulary: 20480 moves
- Task
- Reinforcement Learning
- Type
- chessnet
- License
- mit
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026