acquisition_generator_AS_SOLVE_confidence_omnimath_qwen7b
ishikaa/acquisition_generator_AS_SOLVE_confidence_omnimath_qwen7b
Tracked by OpenModelStats since September 14, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 639
- Total downloadsCumulative all-time download counter reported by the source platform.
- 639
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +639(increase)
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- 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. #10684 among tracked Text Generation models.
- #38,630
- 214(down 214 places)this week
- Parameters
- 7.6B
- Last source update
- Sep 14, 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.
- 36.6
- acquisition_generator_AS_SOLVE_confidence_omnimath_qwen7b gained 639 downloads during the last seven tracked days.
- It moved from #10626 to #10684 among tracked Text Generation models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
acquisition_generator_AS_SOLVE_confidence_omnimath_qwen7b is a text generation model published by ishikaa. OpenModelStats has tracked the model since Sep 14, 2026, most recently observing it Sep 15, 2026.
- Published
- Sep 14, 2026
- Last updated
- Sep 14, 2026
- Library
- transformers
- License
- —
- Task
- Text Generation
- Parameters
- 7,615,616,512
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 91
transformerssafetensorsqwen2text-generationconversationalarxiv:1910.09700text-generation-inferenceendpoints_compatibleregion:us
Publisher
ishikaaView publisher statistics →Similar models
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