# LLaMA

> large language model by Meta AI

**Wikidata**: [Q116894231](https://www.wikidata.org/wiki/Q116894231)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Llama_(language_model))  
**Source**: https://4ort.xyz/entity/llama

## Summary
LLaMA is a large language model developed by Meta AI. It is a family of large language models created by Meta, with its first version published in February 2023.

## Key Facts
*   LLaMA is developed by Meta AI.
*   The first version of LLaMA was published in February 2023.
*   It is classified as a large language model and software.
*   The preferred stable version is Llama 4, released on April 5, 2025.
*   LLaMA is primarily programmed in Python.
*   It has several stable versions, including Llama 2 (September 1, 2023), Llama 3 (April 18, 2024), Llama 3.1 (July 23, 2024), Llama 3.2 (September 25, 2024), Llama 3.3 (December 6, 2024), and Llama 4 (April 5, 2025).
*   LLaMA is copyrighted.

## FAQs
### Q: What is LLaMA?
A: LLaMA (Large Language Model Meta AI) is a large language model developed by Meta AI. It is part of a family of large language models.

### Q: Who developed LLaMA?
A: LLaMA was developed by Meta AI, a division of the American multinational technology corporation Meta.

### Q: When was LLaMA first published?
A: LLaMA was first published in February 2023.

### Q: What are the different versions of LLaMA?
A: LLaMA has several stable versions, including Llama 1, Llama 2, Llama 3, Llama 3.1, Llama 3.2, Llama 3.3, and the preferred Llama 4.

### Q: What programming language is LLaMA written in?
A: LLaMA is programmed in Python.

## Why It Matters
LLaMA holds significance as a foundational large language model developed by Meta AI, a major technology corporation. Its initial publication in February 2023 marked its entry into the rapidly evolving field of artificial intelligence. Described as an "Open and Efficient Foundation Language Model" in Meta's research, LLaMA contributes to the broader accessibility and development of advanced AI capabilities. The continuous release of multiple stable versions, including Llama 2, Llama 3, and upcoming versions like Llama 4, demonstrates ongoing innovation and commitment to advancing the technology. Notably, Llama 4 is highlighted for "natively multimodal AI innovation," indicating its role in pushing the boundaries of AI to process and understand various data types beyond just text. Its presence on the WikiProject Large Language Models focus list further underscores its recognition and relevance within the academic and open-source AI communities.

## Notable For
*   Developed by Meta AI, a leading global technology corporation.
*   Positioned as an "Open and Efficient Foundation Language Model" by Meta Research.
*   Features a continuous development cycle with multiple stable versions, including Llama 2, Llama 3, and future iterations like Llama 4.
*   Llama 4 is noted for "natively multimodal AI innovation," indicating advanced capabilities.

## Body

### Overview
LLaMA, an acronym for Large Language Model Meta AI, is a large language model developed by Meta AI. It is classified as a type of software and belongs to a family of large language models.

### Development and Creator
LLaMA was created and developed by Meta AI, a division of Meta, an American multinational technology corporation. Meta was founded on July 29, 2004, and is headquartered in Menlo Park, United States.

### Publication and Versions
The initial version of LLaMA was published in February 2023. Since then, Meta AI has released several stable versions:
*   **Llama 2**: Released on September 1, 2023.
*   **Llama 3**: Released on April 18, 2024.
*   **Llama 3.1**: Released on July 23, 2024.
*   **Llama 3.2**: Released on September 25, 2024.
*   **Llama 3.3**: Released on December 6, 2024.
*   **Llama 4**: The preferred stable version, with a release date of April 5, 2025. This version is noted for "natively multimodal AI innovation."

### Technical Details
*   **Programming Language**: LLaMA is developed using Python, a general-purpose programming language.
*   **Copyright Status**: The software is copyrighted.
*   **Source Code**: A source code repository is available on GitHub: `https://github.com/meta-llama/llama`.
*   **Official Website**: Further information can be found at `https://www.llama.com/`.

### Aliases and Related Concepts
LLaMA is also known by its aliases: Llama, Large Language Model Meta AI, and النموذج اللغوي الكبير من ميتا أيه آي. It is distinct from LaMDA. The project has a dedicated subreddit, LocalLLaMA, and is part of the WikiProject Large Language Models focus list on Wikimedia.

## References

1. [LLaMA: Open and Efficient Foundation Language Models - Meta Research](https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/)
2. [Release 3. 2024](https://github.com/meta-llama/llama3)
3. [Release 2. 2023](https://github.com/meta-llama/llama/releases/tag/v2)
4. [Introducing Llama 3.1: Our most capable models to date. 2024](https://ai.meta.com/blog/meta-llama-3-1/)
5. [Llama 3.2: Revolutionizing edge AI and vision with open, customizable models. 2024](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/)
6. [meta-llama/Llama-3.3-70B-Instruct · Hugging Face. 2024](https://huggingface-co.translate.goog/meta-llama/Llama-3.3-70B-Instruct?_x_tr_sl=en&_x_tr_tl=es&_x_tr_hl=es&_x_tr_pto=tc)
7. [The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)