Code Llama: Llama 2 learns to code
Meta released Code Llama, a family of code-specialized large language models built on top of Llama 2. The models are available in multiple sizes and variants, including a Python-specialized version and an instruction-following version. Code Llama supports long context windows for handling large codebases and is released as open weights, making it accessible for research and commercial use.
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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.
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.
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 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.
CodeGemma - Google's Official Code-Focused LLM Release
Google has released CodeGemma, a family of code-specialized large language models, announced via the Hugging Face blog. CodeGemma builds on the Gemma model family and is targeted at code generation and understanding tasks. The release represents Google's continued push into open-weights code LLMs to compete with models like Code Llama and DeepSeek Coder.
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.
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.