

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
- 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...
- Fla published news article about Amazon Web Services
Meta's Llama 4 models now available on AWS SageMakerAmazon Web Services has announced that Meta's latest AI models, Llama 4 Scout 17B and Llama 4 Maver...
Recent activities
adrien-aco added Meta Llama as alternative to Haloon
fabsg85 added Meta Llama as alternative to SharkBoard
olivaresai added Meta Llama as alternative to Alma by Olivares.AI
opengolin added Meta Llama as alternative to OpenGolin.AI
OrdinaryPerson added Meta Llama as alternative to LastChat
willbiu007 added Meta Llama as alternative to SafeDraft AI
pinza_ai added Meta Llama as alternative to pinza.ai
LaminaLabs added Meta Llama as alternative to OfflineGPT- ShuraWW added Meta Llama as alternative to ComfyAI
- Triall added Meta Llama as alternative to Triall
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...