llama-nemotron-rerank-vl-1b-v2-fp8
nvidia/llama-nemotron-rerank-vl-1b-v2-fp8
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 297
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,234
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +60(increase)
- 5.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 7
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #150 among tracked Text Ranking models.
- #49,764
- 611(down 611 places)this week
- Parameters
- 1.7B
- Last source update
- Jul 28, 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.
- 38.7
- llama-nemotron-rerank-vl-1b-v2-fp8 gained 60 downloads during the last seven tracked days.
- It moved from #151 to #150 among tracked Text Ranking models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
llama-nemotron-rerank-vl-1b-v2-fp8 is a text ranking model published by nvidia. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 4, 2026.
- Published
- May 22, 2026
- Last updated
- Jul 28, 2026
- Library
- transformers
- License
- other
- Task
- Text Ranking
- Parameters
- 1,678,256,576
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 9
transformerssafetensorsllama_nemotron_vl_rerankfeature-extractionrerankercross-encodervisual-document-retrievalquestion-answering retrievalmultimodal rerankingsemantic-searchragsentence-transformers
Publisher
nvidiaView publisher statistics →Similar models
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