This is huge: Llama-v2 is open source, with a license that authorizes commercial use!
This is going to change the landscape of the LLM market.
Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers
Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters.
Llama-2 website: https://ai.meta.com/llama/
Llama-2 paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
A number of personalities from industry and academia have endorsed our open source approach: https://about.fb.com/news/2023/07/llama-2-statement-of-support/
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Bài post của Mark Zuckerberg
We're partnering with Microsoft to introduce Llama 2, the next generation of our open source large language model. Llama 2 will be available for free for research and commercial use.
Meta has a long history of open sourcing our infrastructure and AI work -- from PyTorch, the leading machine learning framework, to models like Segment Anything, ImageBind, and Dino, to basic infrastructure as part of the Open Compute Project. This has helped us build better products by driving progress across the industry.
Open source drives innovation because it enables many more developers to build with new technology. It also improves safety and security because when software is open, more people can scrutinize it to identify and fix potential issues. I believe it would unlock more progress if the ecosystem were more open, which is why we're open sourcing Llama 2.
Today we're releasing pretrained and fine-tuned models with 7B, 13B, and 70B parameters. Llama 2 was pretrained on 40% more data than Llama 1 and has improvements to its architecture. For the fine-tuned models, we collected more than 1 million human annotations and applied supervised fine-tuning and reinforcement learning with human feedback (RLHF) with leading results on safety and quality.
You can download these models directly, or through our preferred partnership with Microsoft you can access these models through Azure along with Microsoft's safety and content tools. There is also an optimized version that you can run locally on Windows.
I'm looking forward to seeing what you all build!
