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I just had a masterclass in open-source collaboration with the release of Llama 3.1 🦙🤗
Meta dropped Llama 3.1, and seeing firsthand the Hugging Face team working to integrate it is nothing short of impressive. Their swift integration, comprehensive documentation, and innovative tools showcase the power of open-source teamwork.
For the curious minds:
📊 Check out independent evaluations: open-llm-leaderboard/open_llm_leaderboard
🧠 Deep dive into the tech: https://huggingface.co/blog/llama31
👨🍳 Try different recipes (including running 8B on free Colab!): https://github.com/huggingface/huggingface-llama-recipes
📈 Visualize open vs. closed LLM progress: andrewrreed/closed-vs-open-arena-elo
🤖 Generate synthetic data with distilabel, thanks to the new license allowing the use of outputs to train other LLMs https://huggingface.co/blog/llama31#synthetic-data-generation-with-distilabel
💡 Pro tip: Experience the 405B version for free on HuggingChat, now with tool-calling capabilities! https://huggingface.co/chat/
#OpenSourceAI #AIInnovation
Meta dropped Llama 3.1, and seeing firsthand the Hugging Face team working to integrate it is nothing short of impressive. Their swift integration, comprehensive documentation, and innovative tools showcase the power of open-source teamwork.
For the curious minds:
📊 Check out independent evaluations: open-llm-leaderboard/open_llm_leaderboard
🧠 Deep dive into the tech: https://huggingface.co/blog/llama31
👨🍳 Try different recipes (including running 8B on free Colab!): https://github.com/huggingface/huggingface-llama-recipes
📈 Visualize open vs. closed LLM progress: andrewrreed/closed-vs-open-arena-elo
🤖 Generate synthetic data with distilabel, thanks to the new license allowing the use of outputs to train other LLMs https://huggingface.co/blog/llama31#synthetic-data-generation-with-distilabel
💡 Pro tip: Experience the 405B version for free on HuggingChat, now with tool-calling capabilities! https://huggingface.co/chat/
#OpenSourceAI #AIInnovation
