FastApply-7B-v1.0
Kortix/FastApply-7B-v1.0
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 129
- Total downloadsCumulative all-time download counter reported by the source platform.
- 65.5K
- 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.
- 42
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #8410 among tracked Text Generation models.
- #31,240
- 28270(down 28270 places)this week
- Parameters
- 7.6B
- Last source update
- Dec 5, 2025
- It moved from #990 to #8410 among tracked Text Generation models this week.
Downloads over time
Rolling recent-window downloads as reportedNot 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
FastApply-7B-v1.0 is a text generation model published by Kortix. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 4 min ago.
- Published
- Oct 18, 2024
- Last updated
- Dec 5, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 7,615,616,512
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsqwen2text-generationtext-generation-inferenceunslothtrlsftfast-applyinstant-applyconversationalen
Publisher
KortixView publisher statistics →Similar models
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