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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Set of tools to assess and improve LLM security.
| Date | Stars |
|---|---|
| 2026-07-31 | 4319 |
| 2026-08-02 | 4319 |
| 2026-08-04 | 4328 |
| 2026-08-06 | 4328 |
Today
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growth rate 0.00%/day
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<img src="https://github.com/facebookresearch/PurpleLlama/blob/main/logo.png" width="400"/>
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🤗 <a href="https://huggingface.co/meta-Llama"> Models on Hugging Face</a>  | <a href="https://ai.meta.com/blog/purple-llama-open-trust-safety-generative-ai"> Blog</a>  | <a href="https://ai.meta.com/llama/purple-llama">Website</a>  | <a href="https://ai.meta.com/research/publications/purple-llama-cyberseceval-a-benchmark-for-evaluating-the-cybersecurity-risks-of-large-language-models/">CyberSec Eval Paper</a>   | <a href="https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/">Llama Guard Paper</a> 
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# Purple Llama
Purple Llama is an umbrella project that over time will bring together tools
and evals to help the community build responsibly with open generative AI
models. The initial release will include tools and evals for Cyber Security and
Input/Output safeguards but we plan to contribute more in the near future.
## Why purple?
Borrowing a [concept](https://www.youtube.com/watch?v=ab_Fdp6FVDI) from the
cybersecurity world, we believe that to truly mitigate the challenges which
generative AI presents, we need to take both attack (red team) and defensive
(blue team) postures. Purple teaming, composed of both red and blue team
responsibilities, is a collaborative approach to evaluating and mitigating
potential risks and the same ethos applies to generative AI and hence our
investment in Purple Llama will be comprehensive.
## License
Components within the Purple Llama project will be licensed permissively enabling both research and commercial usage.
We believe this is a major step towards enabling community collaboration and standardizing the development and usage of trust and safety tools for generative AI development.
More concretely evals and benchmarks are licensed under the MIT license while any models use the corresponding Llama Community license. See the table below:
| **Component Type** | **Components** | **License** |
| :----------------- | :----------------------------------: | :--------------------------------------------------------------------------------------------: |
| Evals/Benchmarks | Cyber Security Eval (others to come) | MIT |
| Safeguard | Llama Guard | [Llama 2 Community License](https://github.com/facebookresearch/PurpleLlama/blob/main/LICENSE) |
| Safeguard | Llama Guard 2 | [Llama 3 Community License](https://github.com/meta-llama/llama3/blob/main/LICENSE) |
| Safeguard | Llama Guard 3-8B | [Llama 3.2 Community License](LICENSE) |
| Safeguard | Llama Guard 3-1B | [Llama 3.2 Community License](LICENSE) |
| Safeguard | Llama Guard 3-11B-vision | [Llama 3.2 Community License](LICENSE) |
| Safeguard | Prompt Guard | [Llama 3.2 Community License](LICENSE) |
| Safeguard | Code Shield | MIT |
## System-Level Safeguards
As we outlined in Llama 3’s
[Responsible Use Guide](https://ai.meta.com/llama/responsible-use-guide/), we
recommend that all inputs and outputs to the LLM be checked and filtered in
accordance with content guidelines appropriate to the application.
### Llama Guard
Llama Guard 3 consists of a series of high-performance input and output moderation models designed to support developers to detect various common types of violating content.
They were built by fine-tuning Meta-Llama 3.1 and 3.2 models and optimized to support the detection of the MLCommons standard hazards taxonomy, catering to a range of developer usExcerpt of 7,970 characters
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Cyrus Nikolaidis · Meta · United States
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Richard Barnes
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Facebook Community Bot · @facebook · United States
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Ujjwal Karn · @facebook · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5945c8381950e64d, desc:llm security