

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.
Cost / License
- Free
- Open Source
Application types
Platforms
- Mac
- Windows
- Linux
- BSD
- Self-Hosted
Features
- AI-Powered
- AI Chatbot
- AI Writing
Meta Llama News & Activities
Recent News
- Maoholguin published news article about Meta AI
Meta starts its new Muse AI model family with Muse Spark in a broader AI strategy resetMeta has launched a new lightweight AI model called Muse Spark, the first release in its new Muse f...
- Danilo_Venom published news article about Cloudflare Workers AI
Meta's Llama 4 now available on Cloudflare Workers AIMeta's latest model, Llama 4, is now accessible via Cloudflare Workers AI, as Cloudflare partners w...
- Fla published news article about Microsoft Azure
Meta’s Llama 4 models launch on Azure AI Foundry and Azure DatabricksMeta’s Llama 4 new Scout and Maverick models are now available on Microsoft Azure AI Foundry and Az...
Recent activities
bestcodes added Meta Llama as alternative to AgentOne
ngn-ai added Meta Llama as alternative to NGN.AI
bugrasa added Meta Llama as alternative to EVA Online AI
justarandom added Meta Llama as alternative to Sci-Bot- az-doomer liked Meta Llama
OrdinaryPerson added Meta Llama as alternative to GPTMobile
OsamaShady added Meta Llama as alternative to SimpliCEFR
Panvoxx added Meta Llama as alternative to Panvoxx
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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.







Comments and Reviews
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/)
It isn't really open-source...