LLaMA 2

LLaMA 2 is Meta's open-source large language model, released to give researchers and developers a capable, freely downloadable alternative to closed commercial models. It played a major role in accelerating the broader open-source AI ecosystem, giving smaller teams and independent developers a strong foundation to build on without relying on a closed API.

Common Use Cases

LLaMA 2 is widely used for:

• Research & experimentation: A well-documented base model for studying and extending large language model behavior.
• Self-hosted applications: Running a capable language model on your own infrastructure without per-token API costs.
• Fine-tuning: Serving as a foundation for custom, task-specific models built by the community.
• Cost-sensitive deployments: An alternative to closed APIs for teams that need to control their own inference costs.

Key Features & Capabilities

• Open-source weights: Freely downloadable and modifiable under Meta's license terms.
• Multiple model sizes: Released in a range of parameter sizes to fit different hardware and performance needs.
• Strong community ecosystem: One of the most widely fine-tuned and adapted open model families, with a large body of community tooling built around it.
• Foundation for later Llama generations: Superseded by newer Llama releases, but still widely referenced and used in existing deployments.

Available Platforms

LLaMA 2 can be accessed through:

• Self-hosting: Downloadable weights via Meta and Hugging Face.
• Cloud & inference platforms: Available through various third-party hosting providers.

Learn More

Official Resources

• Meta Llama