MolDeBERTa-base-123M-contrastive_mlc
SaeedLab/MolDeBERTa-base-123M-contrastive_mlc
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 49
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,360
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +16(increase)
- 1.2%(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. #1199 among tracked Embeddings models.
- #46,810
- 271(down 271 places)this week
- Parameters
- 88.2M
- Last source update
- Jun 11, 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.
- 26.9
- MolDeBERTa-base-123M-contrastive_mlc gained 16 downloads during the last seven tracked days.
- It moved from #1191 to #1199 among tracked Embeddings models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
MolDeBERTa-base-123M-contrastive_mlc is a embeddings model published by SaeedLab. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 23h ago.
- Published
- Jan 19, 2026
- Last updated
- Jun 11, 2026
- Library
- transformers
- License
- cc-by-nc-nd-4.0
- Task
- Embeddings
- Parameters
- 88,227,840
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 2
transformerssafetensorsdeberta-v2feature-extractionchemistrybioinformaticsdrug-discoverydataset:SaeedLab/MolDeBERTalicense:cc-by-nc-nd-4.0text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
SaeedLabView publisher statistics →Similar models
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