chess-model
typical-cyber/chess-model
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 0
- Total downloadsCumulative all-time download counter reported by the source platform.
- 0
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- 0
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
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- Last source update
- Sep 7, 2026
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
chess-model is a reinforcement learning model published by typical-cyber. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 13, 2026.
- Published
- Apr 12, 2026
- Last updated
- Sep 7, 2026
- Library
- —
- License
- mit
- Task
- Reinforcement Learning
- Parameters
- —
- Spaces
- 1
- Derivative models
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- Velocity 7D/day
- 0
chessgame-aimonte-carlo-tree-searchreinforcement-learningzone-guidanceadjacency-matrixhilbert-curveabc-modelpytorchnumpylicense:mitregion:us
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