Model Details
OmniGuard-7B
Quick answer: OmniGuard-7B is a 7B open-weights safety classifier from an academic research release (published under an anonymized/pseudonymous Hugging Face organization pending peer review), aimed at general-purpose guardrail classification across multiple harm taxonomies.
At a Glance
Where it leads: No individually reported score currently appears in Mistral's public Shieldstral benchmark comparison; included here as a referenced comparison model in the underlying research literature. Where it lags: Limited public benchmark disclosure relative to industrially-backed guard models (OpenAI, Alibaba, NVIDIA, Meta, Google). Best for: Researchers evaluating academic guardrail baselines alongside industrial guard models.
What OmniGuard-7B Is
OmniGuard-7B is a research-released 7B safety classifier, published via an anonymized Hugging Face organization consistent with double-blind peer review conventions. Its associated paper explores general-purpose safety classification across harm categories, positioning it as an academic baseline within the broader guardrail model literature that includes WildGuard, Aegis, and PolyGuard.
Specifications
| Field | Value |
|---|---|
| Organization | Independent research (anonymized release) |
| Parameters | 7B |
| License | Research use |
| Modality | Text only |
Pricing
Open weights, free to download for research use.
Public Benchmark Scores
Scores from Mistral AI's Shieldstral model card, shown for context. Not Benchgen measurements.
| Benchmark | Score |
|---|---|
| VLGuard | 88.5% |
| UnsafeBench | 72.6% |
| LlavaGuard | 71.7% |
Related Models & Benchmarks
Frequently Asked Questions
What is OmniGuard-7B?
A 7B open-weights safety classifier from an academic research release, exploring general-purpose guardrail classification.Why is the organization "anonymized"?
The model was released under a pseudonymous Hugging Face organization, consistent with double-blind peer review conventions common in academic ML publishing.Is it open source?
Weights are publicly available for research use.Last updated 2026-08-12.
Benchmark Leaderboards
This model isn’t on any benchmark leaderboard yet.