10k-finetune
Farsight-AI/10k-finetune
Tracked by OpenModelStats since September 4, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 21
- Total downloadsCumulative all-time download counter reported by the source platform.
- 483
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +4(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. #976 among tracked Text Classification models.
- #34,404
- 291(down 291 places)this week
- Parameters
- 435M
- Last source update
- Nov 8, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 11.1
- 10k-finetune gained 4 downloads during the last seven tracked days.
- It moved from #979 to #976 among tracked Text Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
10k-finetune is a text classification model published by Farsight-AI. OpenModelStats has tracked the model since Sep 4, 2026, most recently observing it Oct 1, 2026.
- Published
- Nov 8, 2023
- Last updated
- Nov 8, 2023
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- 435,064,835
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 1
transformerstensorboardsafetensorsdeberta-v2text-classificationgenerated_from_trainerbase_model:MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanlibase_model:finetune:MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanlilicense:mitendpoints_compatibleregion:us
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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