chessmamba
TobiasLogic/chessmamba
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 22
- Total downloadsCumulative all-time download counter reported by the source platform.
- 70
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +5(increase)
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 8
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- —
- Last source update
- Aug 8, 2026
- chessmamba gained 5 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-09-07. Charts appear as daily observations accumulate.
Overview
chessmamba is a reinforcement learning model published by TobiasLogic. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it Oct 6, 2026.
- Published
- Aug 8, 2026
- Last updated
- Aug 8, 2026
- Library
- pytorch
- License
- mit
- Task
- Reinforcement Learning
- Parameters
- —
- Spaces
- 3
- Derivative models
- —
- Velocity 7D/day
- 1
pytorchselective-state-spacechessmambastate-space-modelself-playreinforcement-learninglicense:mitregion:us
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