nomic-embed-text-v2-moe
nomic-ai/nomic-embed-text-v2-moe
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1.3M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 16.8M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +292.7K(increase)
- 1.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 501
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #21 among tracked Sentence Similarity models.
- #325
- 12(down 12 places)this week
- Parameters
- 475M
- Last source update
- Apr 1, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 67.0
- nomic-embed-text-v2-moe gained 292.7K downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
nomic-embed-text-v2-moe is a sentence similarity model published by nomic-ai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 30, 2026.
- Published
- Feb 7, 2025
- Last updated
- Apr 1, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 475,292,928
- Spaces
- —
- Derivative models
- 5
- Velocity 7D/day
- 41.8K
sentence-transformerssafetensorsnomic_bertsentence-similarityfeature-extractioncustom_codeenesfrdeitpt
Publisher
nomic-aiView publisher statistics →Derived from nomic-ai/nomic-embed-text-v2-moe-unsupervised (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
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