Recent discussions among AI enthusiasts highlight the competitive landscape of open-source models, particularly focusing on the anticipated release of Llama-4. Analysts suggest that Llama-4 may outperform R2 in performance metrics, indicating a potential shift in the open-source AI domain. Smaller open-source outfits are reportedly surpassing Llama-3.2 in benchmarks, raising expectations for Llama-4, which is expected to be natively multimodal and multilingual. The release of Llama-4 has faced delays as Meta aims to align its launch with DeepSeek's R1 model. Concerns have been raised that the U.S. may fall behind China in the open-source AI race if these delays continue.
I feel so bad for Meta. They had to push back the Llama 4 release to match DeepSeek R1. Now R2 is announced and may land before Llama 4 which might force them to push it back even more. The US may lose on open source AI to China. https://t.co/PU9IYvCnid
phi-4 is pretty amazing as local model! But I bet Llama 4 will be amazing and finally we'll be able to move many AI activities (agents, thinking, coding) locally without losing too much quality 😎
🚀 New model alert! Llama-3.3-magicalgirl-2.5-i1 is now available in LocalAI! Try it out with `local-ai run llama-3.3-magicalgirl-2.5-i1` #LocalAI #Llama #NewModel 🚀