Mistral AIShieldstral

Shieldstral 1.0

Shieldstral is a downloadable text and image moderation model. Instead of using only a fixed list of categories, it evaluates a policy question supplied in natural language. Its single-token yes/no decision can be converted into a continuous score.

Preview

Ask one clear policy question

Shieldstral is based on Ministral-3-3B-Base-2512 and a Pixtral vision encoder. Its card recommends one policy per question. Applications can use token probabilities to set their own decision threshold. Text-only, image-only and combined inputs use the same policy interface.Shieldstral 1.0 3B model card

Run the released weights

The official model page publishes weights but no Mistral serverless model identifier. It lists prompt checks, response checks, prompt-response pair classification and refusal detection. This directory therefore records weight access, without asserting a hosted moderation endpoint for Shieldstral.Shieldstral 1.0 model page

Evaluate policy wording and thresholds together

Practical guidance. Create examples near the boundary of each policy, including permitted material that resembles a violation. Changing the question can change the decision. Record the question, threshold and model version together so that a later policy revision can be evaluated against the same examples.

Specifications & access

Shieldstral 1.0 specifications
DetailValue and conditions
StatusPreview
Launch date
AccessDownloadable
Model identifiersShieldstral-1.0-3B
Context window32,768 tokens

The model card recommends staying within its 32k training range; its example serves 32768 tokens. It does not recommend the theoretical 256k limit.

Shieldstral 1.0 3B model card
Initial release stagePublic preview.Shieldstral 1.0 model page
Published size3.8B parameters in the model catalog; repository named 3BShieldstral 1.0 model pageShieldstral 1.0 3B model card
LicenseApache 2.0Shieldstral 1.0 model page

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