embeddinggemma-300m
cimo001/embeddinggemma-300m
Tracked by OpenModelStats since September 15, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 8
- Total downloadsCumulative all-time download counter reported by the source platform.
- 83
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- 0
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- —
- Last source update
- Sep 9, 2026
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-09-15. Charts appear as daily observations accumulate.
Overview
embeddinggemma-300m is a sentence similarity model published by cimo001. OpenModelStats has tracked the model since Sep 15, 2026, most recently observing it Sep 10, 2026.
- Published
- Jul 17, 2026
- Last updated
- Sep 9, 2026
- Library
- onnx
- License
- mit
- Task
- Sentence Similarity
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 0
onnxgemma3_textembeddingsentence-similaritymultilingualbase_model:google/embeddinggemma-300mbase_model:quantized:google/embeddinggemma-300mlicense:mitregion:us
Publisher
cimo001View publisher statistics →Derived from google/embeddinggemma-300m (reported by the source; parent not yet tracked).
Similar models
| Model | DL 30D |
|---|---|
| all-MiniLM-L6-v2sentence-transformers | 216.1M |
| paraphrase-multilingual-MiniLM-L12-v2sentence-transformers | 46.7M |
| bge-m3BAAI | 32.3M |
| all-mpnet-base-v2sentence-transformers | 18.1M |
| nomic-embed-text-v1.5nomic-ai | 13.2M |
| multilingual-e5-smallintfloat | 9.7M |