Zhinao-ChineseModernBert-Embedding
qihoo360/Zhinao-ChineseModernBert-Embedding
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,211
- Total downloadsCumulative all-time download counter reported by the source platform.
- 7,924
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +381(increase)
- 5.6%(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. #541 among tracked Sentence Similarity models.
- #31,058
- 215(down 215 places)this week
- Parameters
- 227M
- Last source update
- Mar 18, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 52.6
- Zhinao-ChineseModernBert-Embedding gained 381 downloads during the last seven tracked days.
- It moved from #546 to #541 among tracked Sentence Similarity models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Zhinao-ChineseModernBert-Embedding is a sentence similarity model published by qihoo360. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 6, 2026.
- Published
- Mar 18, 2026
- Last updated
- Mar 18, 2026
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 227,018,496
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 54
sentence-transformerssafetensorsmodernbertsentence-similarityfeature-extractiondensezhlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
qihoo360View publisher statistics →Similar models
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