embeddinggemma-300m-qat-q8_0-unquantized
h2oai/embeddinggemma-300m-qat-q8_0-unquantized
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,479
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +610(increase)
- 7.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #416 among tracked Sentence Similarity models.
- #18,613
- 1013(up 1013 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.
- 58.1
- embeddinggemma-300m-qat-q8_0-unquantized gained 610 downloads during the last seven tracked days.
- It moved from #424 to #416 among tracked Sentence Similarity models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
embeddinggemma-300m-qat-q8_0-unquantized is a sentence similarity model published by h2oai. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 7h ago.
- Published
- Sep 25, 2025
- Last updated
- Sep 25, 2025
- Library
- sentence-transformers
- License
- gemma
- Task
- Sentence Similarity
- Parameters
- 302,863,104
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 87
sentence-transformerssafetensorsgemma3_textsentence-similarityfeature-extractionlicense:gemmatext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
h2oaiView publisher statistics →Similar models
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