prompt-saturation-attack-detector
GuardrailsAI/prompt-saturation-attack-detector
Tracked by OpenModelStats since September 9, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 195.7K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +38.2K(increase)
- 4.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #43 among tracked Text Classification models.
- #1,543
- 9(up 9 places)this week
- Parameters
- 4.4M
- Last source update
- Nov 14, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 69.7
- prompt-saturation-attack-detector gained 38.2K downloads during the last seven tracked days.
- It moved from #42 to #43 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
prompt-saturation-attack-detector is a text classification model published by GuardrailsAI. OpenModelStats has tracked the model since Sep 9, 2026, most recently observing it 5h ago.
- Published
- Nov 7, 2024
- Last updated
- Nov 14, 2024
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- 4,386,178
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 5,459
transformerssafetensorsberttext-classificationjailbreak-detectionsafetysecurityenbase_model:google-bert/bert-base-uncasedbase_model:finetune:google-bert/bert-base-uncasedendpoints_compatibleregion:us
Model family
Based on base-model relationships reported by the source's metadata.
Base model
- bert-base-uncased36.7M
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