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Llama

meta-llama/llama

Llama is Meta’s repository with inference code for earlier Llama models and links to newer family repositories.

Forks 9,792
Author meta-llama
Language Python
License NOASSERTION
Synced 2026-06-27

What it is

The `meta-llama/llama` repository is connected to earlier Llama model releases and their inference code. It now points users toward newer repositories in the Llama family, but remains historically important.

Llama became one of the most important open model families, with fine-tunes, local inference, research projects, evaluation tools, and derivative models built around it.

How the repository works

The material covers model access, quickstart, inference for pretrained and chat models, model cards, license, and links to newer repositories.

Its status matters: new development is directed toward repositories such as `llama-models` and PurpleLlama.

Model usage outline

This sketch shows the general path. Exact commands depend on model version and the current repository.

Language: Plain text
request model access
  -> download weights under license terms
  -> install inference dependencies
  -> run prompt through model code
  -> evaluate output and safety constraints

Why it matters

Llama changed the LLM ecosystem by giving researchers and developers a strong base for local and open experiments.

For this catalog, the important point is honest status: this is not the newest center of Llama development, but it is a major historical entry point.

Practical context

The practical takeaway is simple: this repository is useful for history and links, but new projects should start from current Llama-family repositories and current model access terms.

Strengths and limits

The main strength is its connection to one of the most influential model families.

The limit is age. New projects need to check current Meta repositories, licenses, model access terms, use policy, and modern inference tools.