WildGuard-7B

WildGuard-7B

Quick answer: WildGuard-7B is the Allen Institute for AI's 7B open-weights safety classifier, the original model trained on WildGuardMix to jointly handle prompt-harm classification, response-harm classification, and refusal detection in a single model — the same test set (WildGuardTest) that many later guard models, including Shieldstral, are benchmarked against.

At a Glance

Where it leads: Historically the reference model for the WildGuardTest benchmark it introduced; naturally a strong baseline on that specific test. Where it lags: Superseded on raw scores by newer, larger, and policy-adaptive models like Shieldstral and Qwen3Guard on several tasks. Best for: Teams wanting the original open-source reference implementation for the WildGuard moderation methodology.

What WildGuard-7B Is

WildGuard-7B was introduced alongside the WildGuardMix dataset (86,759 training examples, 1,725 held-out test items) as AI2's "one-stop" moderation tool — a single model handling prompt harm, response harm, and refusal classification, evaluated against the WildGuardTest benchmark that has since become a common reference point across the guard-model field.

Specifications

Pricing

Open weights, free to download.

Public Benchmark Scores

Scores from Mistral AI's Shieldstral model card, shown for context. Not Benchgen measurements. WildGuard-7B is also the original reference model for the WildGuardTest benchmark suite.

Related Models & Benchmarks

• Shieldstral 1.0 · Qwen3Guard-8B
• WildGuardTest (Prompt) · WildGuardTest (Response) · WildGuardTest (Refusal)

Frequently Asked Questions

Last updated 2026-08-12.