Meta AI has released the Llama 3.2 series, the first in the Llama family to introduce vision capabilities, with lightweight 1B and 3B parameter versions optimized for edge devices that can run smoothly on smartphones, marking a key step in bringing multimodal AI to consumer devices.
Meta AI has released the Llama 3.1 series of large language models, with the 405B parameter flagship version available as fully open-source. This move instantly ignited enthusiasm in the open-source community, with model downloads surpassing one million on the first day and related discussions on X platform exceeding 300,000 posts.
Meta AI launches Llama 3.2 series, introducing open-source vision language models with 11B and 90B parameters, sparking massive developer interest with over 100,000 interactions on X platform. The release marks a new era for multimodal open-source AI, promising to accelerate democratization of AI from cloud to edge devices.
Meta AI officially released Llama 3.1 series open-source large language models on July 24, with the flagship 405B parameter version delivering stunning performance that refreshes industry perceptions. The model performs on par with top closed-source models like GPT-4o and Claude 3.5 Sonnet across multiple authoritative benchmarks, while supporting a longer 128K context window and multilingual capabilities, marking the entry of open-source AI into the "giant beast" era.
