prompt-guard-oss-small
NeuralTrust/prompt-guard-oss-small
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,032
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,451
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +51(increase)
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #720 among tracked Text Classification models.
- #33,061
- 65(down 65 places)this week
- Parameters
- 141M
- Last source update
- Sep 23, 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.
- 16.8
- prompt-guard-oss-small gained 51 downloads during the last seven tracked days.
- It moved from #714 to #720 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
prompt-guard-oss-small is a text classification model published by NeuralTrust. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 28h ago.
- Published
- Aug 25, 2026
- Last updated
- Sep 23, 2026
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- 140,642,306
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 7
transformersonnxsafetensorsmodernberttext-classificationllm-securityprompt-injectionjailbreakjailbreak-detectionguardrailmultilingualsequence-classification
Publisher
NeuralTrustView publisher statistics →Derived from jhu-clsp/mmBERT-small (reported by the source; parent not yet tracked).
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