embeddinggemma-300m
google/embeddinggemma-300m
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3.6M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 20.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1.1M(increase)
- 6.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1,959
- +25 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #11 among tracked Sentence Similarity models.
- #118
- 6(up 6 places)this week
- Parameters
- 303M
- Last source update
- Sep 25, 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.
- 96.3
- embeddinggemma-300m gained 1.1M downloads during the last seven tracked days.
- The model earned 25 new likes over the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
embeddinggemma-300m is a sentence similarity model published by google. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 30, 2026.
- Published
- Jul 17, 2025
- Last updated
- Sep 25, 2025
- Library
- sentence-transformers
- License
- gemma
- Task
- Sentence Similarity
- Parameters
- 302,863,104
- Spaces
- —
- Derivative models
- 11
- Velocity 7D/day
- 161.8K
sentence-transformerssafetensorsgemma3_textsentence-similarityfeature-extractiontext-embeddings-inferencearxiv:2509.20354license:gemmaeval-resultsendpoints_compatibleregion:us
Publisher
googleView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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