ESMC-600M-sae-k64-codebook16384
biohub/ESMC-600M-sae-k64-codebook16384
Tracked by OpenModelStats since September 10, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 287
- Total downloadsCumulative all-time download counter reported by the source platform.
- 945
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +122(increase)
- 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. #1254 among tracked Embeddings models.
- #52,353
- 506(down 506 places)this week
- Parameters
- —
- Last source update
- Sep 16, 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.
- 22.3
- ESMC-600M-sae-k64-codebook16384 gained 122 downloads during the last seven tracked days.
- It moved from #1248 to #1254 among tracked Embeddings models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
ESMC-600M-sae-k64-codebook16384 is a embeddings model published by biohub. OpenModelStats has tracked the model since Sep 10, 2026, most recently observing it 23h ago.
- Published
- May 25, 2026
- Last updated
- Sep 16, 2026
- Library
- transformers
- License
- mit
- Task
- Embeddings
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 17
transformersesmc_saebiologyesmproteinsparse-autoencoderinterpretabilityprotein-embeddingsfeature-extractionprotein-language-modelunsupervised-learningen
Publisher
biohubView publisher statistics →Similar models
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