meta-llama/llama-cookbook resource

Health v2 · maintenance only

Adoption not part of the score

18558 stars · 2765 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Meta's official collection of Jupyter notebook recipes and guides for building with the Llama model family, covering inference, fine-tuning, RAG, and end-to-end use cases. It includes integrations with third-party providers and the Llama API.

Use cases

• learn how to run inference with Llama models
• fine-tune Llama for domain adaptation
• build a RAG pipeline with Llama
• build a WhatsApp bot with Llama 4
• analyze research papers with LLMs
• get started with the Llama API
• run long-context workloads with Llama 4 Scout

When to choose

• you want official, maintained examples for the Llama model family
• you need end-to-end recipes combining inference, fine-tuning, and RAG
• you want provider-specific integration guides (vLLM, LangChain, cloud services)

When to avoid

• you need a production library rather than example notebooks
• you work with non-Llama models exclusively
• you need a framework with stable APIs to build applications on

Facets

learning-resource · maturity active

llm-inference llm-training rag prompt-engineering agent-framework large-language-models artificial-intelligence tutorials machine-learning python cross-platform llama fine-tuning jupyter-notebooks recipes vllm langchain meta

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markdown · JSON · MCP: product_card(name="meta-llama/llama-cookbook")