Meta Llama icon
Meta Llama icon

Meta Llama

 27 likes

As part of Meta’s commitment to open science, today we are publicly releasing Llama (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

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GitHub repository

  •  5,593 Stars
  •  930 Forks
  •  79 Open Issues
  •   Updated Jan 15, 2025 
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Our users have written 2 comments and reviews about Meta Llama, and it has gotten 27 likes

Meta Llama was added to AlternativeTo by Paul on Mar 24, 2023 and this page was last updated Jul 24, 2024. Meta Llama is sometimes referred to as Llama, Llama AI, Meta AI.

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Pending approval • Edited Sep 13, 2023

It's nice that Meta released Llama 2, but it's not nice that Meta is calling it "open source" when it is not. Open source software doesn't put restrictions on what users can do with the software, while the license to Llama 2 has a restrictive Acceptable Use Policy (https://ai.meta.com/llama/use-policy/). Also, Meta doesn't let you use Llama 2 to improve other LLMs. [https://blog.opensource.org/metas-llama-2-license-is-not-open-source/](https://blog.opensource.org/metas-llama-2-license-is-not-open-source/)

1
nozqfkuv
CommentMar 30, 2023

It isn't really open-source...

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What is Meta Llama?

As part of Meta’s commitment to open science, today we are publicly releasing Llama (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field.

Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks.

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