LLM2CLIP-Llama-3-8B-Instruct-CC-Finetuned
microsoft/LLM2CLIP-Llama-3-8B-Instruct-CC-Finetuned
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,574
- Total downloadsCumulative all-time download counter reported by the source platform.
- 127.8K
- 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.
- 43
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #41 among tracked Zero-Shot Classification models.
- #10,840
- –this week
- Parameters
- 7.5B
- Last source update
- Nov 19, 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
LLM2CLIP-Llama-3-8B-Instruct-CC-Finetuned is a zero-shot classification model published by microsoft. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 13 min ago.
- Published
- Nov 16, 2024
- Last updated
- Nov 19, 2024
- Library
- —
- License
- apache-2.0
- Task
- Zero-Shot Classification
- Parameters
- 7,504,924,672
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
safetensorsllamaCLIPLLM2CLIPzero-shot-classificationcustom_codearxiv:2411.04997license:apache-2.0region:us
Publisher
microsoftView publisher statistics →Similar models
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