Meta releases Llama Guard 4 12B multimodal safety classifier on Hugging Face
Meta released Llama Guard 4 12B, a multimodal (image-text-to-text) safety classification model built on the Llama 4 architecture, published to Hugging Face. The model is designed for conversational safety filtering and supports both text and image inputs. With 143K downloads and 102 likes shortly after release, it is seeing meaningful early adoption.
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Meta releases Llama Guard 3 11B Vision for multimodal content safety classification
Meta released Llama Guard 3 11B Vision on Hugging Face, a multimodal safety classifier supporting image-text-to-text inputs built on the Llama 3 architecture. The model extends the Llama Guard safety classification family to handle visual content alongside text. This is relevant to AI safety tooling for multimodal deployments.
Meta releases Llama Guard 3 1B safety classifier on Hugging Face
Meta released Llama Guard 3 1B, a compact 1-billion-parameter text-generation model designed for content safety classification, published on Hugging Face. The model is part of the Llama Guard 3 family and supports multiple languages including English, German, and French. Its small size makes it suitable for lightweight safety filtering in production deployments.
Llama Guard 4 Released on Hugging Face Hub
Meta's Llama Guard 4 safety classifier has been made available on the Hugging Face Hub. Llama Guard 4 is a content moderation model designed to detect unsafe inputs and outputs in LLM pipelines. The Hugging Face blog post announces its availability and integration into the Hub ecosystem, continuing the Llama Guard series of safety-focused models.
Meta releases Llama Prompt Guard 2 (22M) safety classifier on Hugging Face
Meta released Llama Prompt Guard 2-22M, a lightweight 22-million-parameter text classification model for prompt safety, published on Hugging Face under the meta-llama organization. The model is based on DeBERTa-v2 architecture and tagged for safety use cases including prompt injection and jailbreak detection. It is part of the Llama 4 safety tooling ecosystem and supports English and French.
Meta releases Llama 4 Scout 17B-16E instruct model on Hugging Face
Meta released Llama 4 Scout, a 17B active parameter / 16-expert mixture-of-experts instruct model with image-text-to-text (multimodal) capabilities, published on Hugging Face under the meta-llama organization. The model supports multiple languages including Arabic, German, and English. With over 420K downloads and 1,300 likes shortly after release, it is seeing significant community uptake.
Meta releases Llama 3.2 11B Vision Instruct multimodal model
Meta released Llama 3.2 11B Vision Instruct on Hugging Face, an open-weights multimodal model supporting image-text-to-text tasks. The model is part of the Llama 3.2 family and supports English and German. With over 157K downloads and 1,600 likes, it has seen substantial community adoption.
Meta releases Llama 3.2 11B Vision multimodal model on Hugging Face
Meta released Llama 3.2 11B Vision, an open-weights image-text-to-text model, on Hugging Face. The model is part of the Llama 3.2 family and supports multiple languages including English, German, and French. This represents Meta's entry into open-weights multimodal models at the 11B parameter scale.
Meta releases Llama 4 Scout 17B-16E multimodal model on Hugging Face
Meta released Llama 4 Scout, a 17B active parameter model with 16 experts (mixture-of-experts architecture), on Hugging Face. The model supports image-text-to-text tasks, making it a multimodal open-weights release. With over 14,000 downloads and 249 likes shortly after release, it is seeing meaningful early adoption.