EmbeddingGemma-Scandi-300m
emillykkejensen/EmbeddingGemma-Scandi-300m
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 18K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 34.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +4,124(increase)
- 20.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #211 among tracked Sentence Similarity models.
- #6,080
- 11(up 11 places)this week
- Parameters
- 303M
- Last source update
- Sep 17, 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.
- 70.0
- EmbeddingGemma-Scandi-300m gained 4,124 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
EmbeddingGemma-Scandi-300m is a sentence similarity model published by emillykkejensen. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 44 min ago.
- Published
- Sep 17, 2025
- Last updated
- Sep 17, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 302,863,104
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 589
sentence-transformerssafetensorsgemma3_textsentence-similarityfeature-extractiondensegenerated_from_trainerdataset_size:307241loss:CachedMultipleNegativesRankingLossdanosw
Publisher
emillykkejensenView publisher statistics →Derived from google/embeddinggemma-300m (reported by the source; parent not yet tracked).
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