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.
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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 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 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.
Welcome Llama 3 - Meta's new open LLM
Hugging Face published a blog post welcoming Meta's Llama 3 release, covering the new open-weights large language models. Llama 3 represents a significant update to Meta's open model family, with improved capabilities over Llama 2. The post covers integration and availability on the Hugging Face platform.
Llama 3.2 in Keras
Hugging Face published a blog post detailing the integration of Meta's Llama 3.2 models into the Keras framework. The post covers how developers can use Keras to load, fine-tune, and run inference with Llama 3.2, expanding the ecosystem of tools available for working with the model. This represents a tooling/framework integration update rather than a new capability announcement.
Llama 3.1 Released: 405B, 70B & 8B Models with Multilinguality and Long Context
Meta released Llama 3.1, a family of open-weights models at three scales (405B, 70B, 8B) featuring multilingual support and extended context windows. The 405B model represents Meta's largest open-weights release to date, positioning it as a frontier-class open model. Hugging Face published a blog post covering the release, integration details, and deployment options across the ecosystem.
Llama 2 is here - get it on Hugging Face
Meta released Llama 2, a new family of open-weights large language models, made available through Hugging Face. The release includes both base and fine-tuned chat variants across multiple parameter sizes. This represents a significant expansion of accessible open-weights frontier models, with Meta and Microsoft partnering on distribution.