GA Guard Lite is a lightweight open-source moderation model developed by General Analysis, specifically designed to detect prohibited content in the outputs of language models. This model can identify seven categories of security risks, including illegal activities, hate speech, and personal information leakage, providing efficient content security protection for AI applications.

Natural Language ProcessingTransformersEnglish

Granite Guardian 3.2 5B is an AI risk detection model developed by IBM, specifically designed to detect various security risks in prompts and responses. Based on the IBM AI Risk Atlas, this model can identify multiple risk types such as harm, social bias, jailbreaking, and violence, and is an important tool for enterprise-level AI security monitoring.

Natural Language ProcessingTransformers

Granite Guardian 3.1 2B is a fine-tuned Granite 3.1 2B instruction model designed to detect risks in prompts and responses. It can perform risk detection based on multiple key dimensions listed in the IBM AI Risk Atlas.

Natural Language ProcessingTransformersEnglish

Prem-1B-SQL is one of the first fully local text-to-SQL model series developed by Prem AI, with 1 billion parameters. It is designed for low-configuration GPU devices and can run on CPUs after quantization. This model prioritizes local deployment to avoid data security risks and is suitable for enterprise-level SQL query generation.

Natural Language ProcessingSafetensorsEnglish

Safe-CLIP is an enhanced vision-language model designed to mitigate risks associated with Not Safe For Work (NSFW) content in AI applications.

MultimodalTransformers

Safe-CLIP is an enhanced vision-language model based on CLIP, designed to mitigate risks associated with NSFW (Not Safe For Work) content in AI applications.

MultimodalTransformers