h-cgqe-gic2026
Ryukijano/h-cgqe-gic2026
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 50
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,972
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #37 among tracked Reinforcement Learning models.
- #23,475
- 841(down 841 places)this week
- Parameters
- —
- Last source update
- Sep 28, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 22.4
- h-cgqe-gic2026 gained 1 downloads during the last seven tracked days.
- It moved from #34 to #37 among tracked Reinforcement Learning models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
h-cgqe-gic2026 is a reinforcement learning model published by Ryukijano. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it Oct 8, 2026.
- Published
- Jul 16, 2026
- Last updated
- Sep 28, 2026
- Library
- pytorch
- License
- mit
- Task
- Reinforcement Learning
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 0
pytorchh-cgqe-transformerquantum-computinggenerative-quantum-eigensolverreinforcement-learningcuda-qquantum-chemistrycircuit-designGQEDAPOMAP-ElitesQSCI
Publisher
RyukijanoView publisher statistics →Derived from Ryukijano/h-cgqe-gic2026 (reported by the source; parent not yet tracked).
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