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.
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Meta releases Llama 3.2 90B Vision-Instruct multimodal model
Meta released Llama 3.2 90B Vision-Instruct on Hugging Face, a large multimodal model supporting image-text-to-text tasks. The model is part of the Llama 3.2 family and supports English and German. With 858 downloads and 358 likes, it represents Meta's open-weights push into vision-language capabilities at the 90B parameter scale.
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 3.2 90B Vision multimodal model on Hugging Face
Meta released Llama 3.2 90B Vision, a large multimodal model supporting image-text-to-text tasks, published on Hugging Face under the meta-llama organization. The model is part of the Llama 3.2 family and supports English, German, and French. This is a significant open-weights multimodal release from Meta, extending the Llama 3 series with vision capabilities at the 90B parameter scale.
Meta releases Llama 4 Maverick 17B-128E multimodal instruct model on Hugging Face
Meta released Llama 4 Maverick, a 17B active parameter model with 128 experts (MoE architecture), as an image-text-to-text instruct model on Hugging Face. The model supports multimodal inputs and multiple languages including Arabic, German, and English. With 28K+ downloads and 493 likes shortly after release, it is seeing significant early adoption.
Llama 3.2 Multimodal and Edge Models Launch on Hugging Face
Meta released Llama 3.2, introducing vision-capable multimodal models alongside lightweight models optimized for on-device inference. Hugging Face published a blog post covering integration support, model availability, and deployment options across the ecosystem. The release marks Meta's first open-weights multimodal Llama models, adding image understanding to the Llama family. Smaller 1B and 3B parameter variants target edge and mobile deployment scenarios.
Meta releases Llama 3.2-3B open-weights text generation model
Meta released Llama 3.2-3B, a 3-billion parameter open-weights language model, on Hugging Face under the meta-llama organization. The model supports multiple languages including English, German, French, and Italian, and uses the standard transformers/safetensors format. With over 900K downloads and 800+ likes, it has seen substantial community adoption.
Meta releases Llama 3.3 70B Instruct on Hugging Face
Meta released Llama 3.3 70B Instruct, a new instruction-tuned variant in the Llama 3 family, published on Hugging Face. The model supports English, French, and Italian and has accumulated over 691,000 downloads and 2,800 likes, indicating strong community uptake. This represents a meaningful open-weights release in the 70B parameter class.
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.