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LlavaGuard is a versatile Vision-Language Model (VLM)–based framework for evaluating visual content safety, supporting both dataset annotation and safeguarding generative models. It provides an open pipeline for building safety datasets and offers open pre-trained weights for vision safeguarding. The models support direct inference (via SGLang and Hugging Face Transformers), fine-tuning with LoRA, or full model training.
AI named LlavaGuard in November 2025.