Mistral AI发布Shieldstral 1.0 3B，轻量多模态安全分类器
Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size
Mistral出了个3B的小模型，能按你自定义的政策做内容审核，效果追平20B大模型，还只要16G显存，开源可商用。
Mistral AI推出开源权重模型Shieldstral 1.0 3B，将内容审核转化为单个是非题，用户可在推理时用自然语言指定政策，无需重新训练。
该模型基于Ministral-3-3B-Base-2512和Pixtral视觉编码器，使用约54.1M样本训练。
其在文本安全任务上平均F1为84.9%，与GPT-OSS-Safeguard-20B持平；
多模态安全F1为83.8%，适应性基准达91.
3%。模型仅需16GB显存，采用Apache 2.
0许可证。
Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size
Mistral AI has released Shieldstral 1.0 3B, an open-weights, policy-adaptive multimodal safety classifier that frames content moderation as a single yes/no question instead of a fixed harm taxonomy. Operators supply the policy as a plain-language query at inference time and get back a calibrated safety score from one forward pass — no retraining required to re-target the model. Built on Ministral-3-3B-Base-2512 with a Pixtral vision encoder and trained on roughly 54.1M samples, it reports 84.9% average F1 on text safety (matching GPT-OSS-Safeguard-20B), 83.8% on multimodal safety, and 91.3% on Mistral's adaptability benchmark — while fitting in 16GB of VRAM under an Apache 2.0 license. The post Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size appeared first on MarkTechPost .
This report is categorized under AITOP's "Models" desk, focusing on Europe's AI governance and technology ecosystem. Key entities and technical topics under continuous tracking include Shieldstral, Mistral AI, 多模态, 开源模型.
Primary source verification: published directly by marktechpost with first-party authority.
