Llama is open source, but with restrictions that limit what you can do with it

Meta's Llama is released under the Llama Community License, which makes the model code and weights publicly available — but it is not open source in the way most people understand the term. You can download it, study it, and run it on your own computer. You cannot legally use it to build a competing product that Meta considers a threat, and you cannot use it if you work for a company with more than 700 million monthly active users.

The distinction matters because "open source" has a specific meaning in software. A truly open source project — like Linux or Firefox — lets anyone use the code for any purpose, including commercial ones, with minimal restrictions. Llama's license is more like a free trial with a non-compete clause. Meta owns the model, sets the rules, and can change them.

If you want to experiment with Llama locally, run it on your own hardware, or build a small research project, the license poses no practical barrier. If you want to build a business around it or integrate it into a large company's product, you need to understand what Meta's license actually permits.

Key Takeaways

  • Llama's code and model weights are publicly available for download, but the Llama Community License restricts how you can use them.
  • You cannot use Llama if your company or organization has more than 700 million monthly active users, which effectively blocks Meta's largest competitors.
  • Commercial use is allowed for companies below that threshold, but you cannot build a product that Meta views as competitive with its own offerings.
  • True open source licenses like GPL or MIT have no such restrictions; Llama's license is proprietary software with public code.

The difference between "open source" and "publicly available"

Open source has a legal definition. The Open Source Initiative maintains a list of licenses that may have access to: GPL, MIT, Apache 2.0, BSD, and others. All of them share a core rule: you can use the software for any purpose, including building a competing product, without asking permission.

Llama's license does not meet this standard. It includes a field-of-use restriction — you cannot use it to build certain kinds of products — and a scale restriction — you cannot use it if your organization is too large. These are the opposite of open source philosophy.

Meta calls Llama "open source" in marketing materials, but the software licensing community does not. The Free Software Foundation and the Open Source Initiative have both noted that Llama does not may have access to under their definitions. What Llama actually is: publicly available proprietary software with source code you can read.

Who cannot use Llama under the current license

The 700 million monthly active user threshold is the clearest restriction. If you work for Meta, Google, Apple, Amazon, TikTok, or any company with a platform that large, you cannot legally use Llama without a separate commercial agreement with Meta.

The field-of-use restrictions are vaguer. Meta's license says you cannot use Llama in ways that compete with Meta's products or that could harm Meta's business. What counts as "competitive" is not spelled out in detail. If you build a chatbot for internal use, you are almost certainly fine. If you build a chatbot to sell to consumers, Meta could argue it competes with their own AI products.

You also cannot use Llama to train other AI models without permission — a restriction that blocks one of the most common uses of open source software in machine learning.

What you can actually do with Llama

For research, education, and small-scale projects, Llama's restrictions rarely matter in practice. You can download the model, run it on your own computer, modify the code, and study how it works. Universities and individual researchers use Llama this way constantly.

For commercial use by smaller companies, the license is permissive as long as you stay below the 700 million user threshold and do not build a product Meta sees as directly competitive. A startup building a customer service chatbot, a consulting firm using Llama for internal analysis, or a small software company integrating it into their product can all do so legally.

The practical limit is that you cannot redistribute Llama as part of a commercial product without a separate license agreement. If you want to bundle Llama with your software and sell it, you need to contact Meta first.

How Llama compares to truly open source AI models

Other AI models use genuinely open source licenses. Mistral, a French AI company, released their models under the Apache 2.0 license — no restrictions on company size, no field-of-use limits, no permission needed for commercial use. Hugging Face hosts thousands of open source models released by researchers and companies under MIT, Apache, and other standard licenses.

The trade-off is that truly open source models often receive less investment and fewer resources than Llama. Meta spent billions developing Llama and can afford to release it widely because they benefit from the research attention and the ecosystem that forms around it. A smaller company might not be able to afford that strategy.

If you need a model with no restrictions at all, Mistral 7B or Llama's open source alternatives are available. If you want the specific capabilities of Llama and your use case falls within Meta's license terms, Llama is free to download and use.

What happens if you violate the license

Meta has not sued anyone for violating the Llama Community License, but the license itself is legally binding. If Meta discovers a violation — typically through public statements about how you are using the model — they can send a cease-and-desist letter and demand you stop using it.

For large companies, the risk is real. For individuals and small organizations, Meta's enforcement has been minimal. That does not mean the restrictions do not exist; it means Meta has chosen not to pursue most violations aggressively.

If you are building something commercially significant, the safest approach is to contact Meta's legal team and ask for clarification or a separate commercial license. They have a process for this, and many companies have obtained permission to use Llama in ways the Community License does not explicitly allow.

Why Meta uses this license instead of a truly open source one

Meta's goal is to build an ecosystem around Llama while protecting their own business interests. A truly open source license would let competitors use Llama to build products that directly compete with Meta's AI offerings. The Community License lets researchers and small companies benefit from Llama while blocking the companies most likely to turn it into a threat.

This is a common pattern in tech. Companies release "open source" software that is technically proprietary but publicly available, using licensing restrictions to maintain competitive advantage. It is not deceptive — the license is public and readable — but it is not the same as the open source movement's original intent.

Frequently Asked Questions

Can I use Llama to build a commercial product?

Yes, if your company has fewer than 700 million monthly active users and the product does not directly compete with Meta's offerings. A chatbot for customer service, a tool for data analysis, or a specialized application in a niche market would likely be permitted. A general-purpose AI assistant sold to consumers might not be.

Can I modify Llama's code and redistribute it?

You can modify it for your own use, but you cannot redistribute the modified version as a product without Meta's permission. You can share your modifications with others for research or educational purposes, but not as a commercial offering.

What is the difference between Llama and Mistral?

Mistral uses the Apache 2.0 license, which has no restrictions on company size or field of use. You can use Mistral for any purpose, including building a competing product. Llama is more powerful in some tasks but comes with restrictions. Choose based on your use case and whether you need unrestricted commercial rights.

Does Meta enforce the license restrictions?

Meta has not pursued legal action against individuals or small organizations, but the license is enforceable. Large companies that violate it face real legal risk. If your use case is unclear, contacting Meta's legal team for a commercial license is the safest approach.

Can I use Llama to train another AI model?

The license explicitly prohibits this without permission. You cannot use Llama as training data for a new model you plan to release or commercialize. This is one of the clearest restrictions in Meta's license and a major difference from truly open source models.