m2v-256-serafim-100m-portuguese-pt-sentence-encoder
Jarbas/m2v-256-serafim-100m-portuguese-pt-sentence-encoder
7.6M parametersmodel2vecLicense: mit
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,170
- Total downloadsCumulative all-time download counter reported by the source platform.
- 6,492
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +747(increase)
- 15.3%(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.
- #20,427
- 391(down 391 places)this week
- Parameters
- 7.6M
- Last source update
- May 20, 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.
- 61.8
- m2v-256-serafim-100m-portuguese-pt-sentence-encoder gained 747 downloads during the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
m2v-256-serafim-100m-portuguese-pt-sentence-encoder is an AI model published by Jarbas. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.
- Published
- May 20, 2025
- Last updated
- May 20, 2025
- Library
- model2vec
- License
- mit
- Task
- —
- Parameters
- 7,601,152
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 107
model2vecsafetensorsembeddingsstatic-embeddingssentence-transformersptbase_model:PORTULAN/serafim-100m-portuguese-pt-sentence-encoderbase_model:finetune:PORTULAN/serafim-100m-portuguese-pt-sentence-encoderlicense:mitregion:us
Publisher
JarbasView publisher statistics →Derived from PORTULAN/serafim-100m-portuguese-pt-sentence-encoder (reported by the source; parent not yet tracked).
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