Welcome Llama 4 Maverick & Scout on Hugging Face
Hugging Face announces the availability of Meta's Llama 4 Maverick and Scout models on its platform. These are the first models in Meta's new Llama 4 generation, representing a significant open-weights release. The post covers integration details, model access, and usage on the Hugging Face ecosystem.
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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.
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.
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 4 Maverick 17B-128E multimodal model on Hugging Face
Meta released Llama 4 Maverick, a 17B active parameter model with 128 experts (mixture-of-experts architecture), on Hugging Face. The model supports image-text-to-text tasks, making it a multimodal open-weights release. This is part of the Llama 4 generation, representing Meta's latest open-weights frontier push with MoE architecture.
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.
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.
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 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.