June 13, 2025
Llama
LLaMA (Large Language Model Meta AI) is Meta’s open-weight language model, developed for research and practical applications in natural language understanding and generation.
Core Information
Founded
2023
CEO
Mark Zuckerberg
Company
Meta Platforms Inc
Notable Models
Llama 4
Brief History
Meta launched LLaMA (Large Language Model Meta AI) in February 2023 to provide high-quality, efficient open-source models. The motive was to ensure widespread use and adoption of AI.
This motive was achieved as LLaMA 2, released in July 2023, became a popular base for customized chatbots and AI tools.
Main Features
- Open-Weight Models
- High Performance
- Efficient Training
- Customizable
- Industry Friendly
- Multiple Sizes
Pricing
Latest Articles
June 12, 2025
Meta Files Lawsuit Against AI ‘Undress’ App, Crush AI
June 9, 2025
Meta Plans $10 Billion Investment in Scale AI
May 29, 2025
Meta AI Hits 1 Billion Active Monthly Users
May 28, 2025
Meta Restructures AI Division to Boost Speed and Innovation
May 1, 2025
Meta Projects $1.4T in Generative AI Revenue by 2035
April 7, 2025
Meta Drops Two New Llama 4 AI Models
April 2, 2025
Meta AI Research Chief Joelle Pineau to Depart
March 24, 2025
FuriosaAI Declines $800M Acquisition Offer From Meta
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Frequently Asked Questions
No, LLaMA models do not send data back to Meta. Once you download and run the model locally, it operates entirely on local infrastructure. Meta does not receive any user inputs or outputs from your use of the model due to privacy policies.
Yes, you can use LLaMA models commercially, but only under Meta’s license terms. LLaMA 2 is available for commercial use by businesses that meet certain conditions. However, companies with over 700 million monthly active users must request special permission from Meta.
Meta does not directly sell LLaMA. Instead, it generates revenue when developers and businesses build AI products using Meta’s ecosystem. This strategy strengthens Meta’s position in AI research and increases adoption of its platforms, like PyTorch and Meta Cloud tools.
The memory needed depends on the model size: LLaMA 2 7B: ~16–24 GB of RAM or GPU memory LLaMA 2 13B: ~32–48 GB LLaMA 2 65B: 128+ GB