Mistral7B-PairRM-SPPO-Iter3
UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 7,992
- Total downloadsCumulative all-time download counter reported by the source platform.
- 178.7K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 5
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2337 among tracked Text Generation models.
- #8,914
- –this week
- Parameters
- 7.2B
- Last source update
- May 7, 2024
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
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
Mistral7B-PairRM-SPPO-Iter3 is a text generation model published by UCLA-AGI. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- May 4, 2024
- Last updated
- May 7, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 7,241,732,096
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsmistraltext-generationconversationalendataset:openbmb/UltraFeedbackarxiv:2405.00675license:apache-2.0text-generation-inferenceendpoints_compatibleregion:us
Publisher
UCLA-AGIView publisher statistics →Similar models
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