SALMONN-2-8B
marcoyang/SALMONN-2-8B
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 631
- Total downloadsCumulative all-time download counter reported by the source platform.
- 711
- 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.
- 3
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #729 among tracked Embeddings models.
- #27,317
- 24662(down 24662 places)this week
- Parameters
- 8.9B
- Last source update
- Jul 23, 2026
- It moved from #53 to #729 among tracked Embeddings models this week.
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
SALMONN-2-8B is a embeddings model published by marcoyang. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Jul 12, 2026
- Last updated
- Jul 23, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Embeddings
- Parameters
- 8,852,686,643
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorssalmonn_2feature-extractionaudioaudio-language-modelaudio-understandingspeechmusiccustom_codelicense:apache-2.0region:us
Publisher
marcoyangView publisher statistics →Similar models
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