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Overview
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Documentation
Overview
Models
Getting the Models
Running Llama
How-To Guides
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Table Of Contents
Overview
Models
Llama 3.1
Llama Guard 3
Prompt Guard
Llama 3
Llama Guard 2
Other models
Getting the Models
Meta
Hugging Face
Kaggle
405B Partners
Running Llama
Linux
Windows
Mac
Cloud
How-To Guides
Fine-tuning
Quantization
Prompting
Validation
Responsible Use
Integration Guides
Code Llama
LangChain
Llamalndex
Community Support
Resources
Overview
Models
Llama 3.1
Llama Guard 3
Prompt Guard
Llama 3
Llama Guard 2
Other models
Getting the Models
Meta
Hugging Face
Kaggle
405B Partners
Running Llama
Linux
Windows
Mac
Cloud
How-To Guides
Fine-tuning
Quantization
Prompting
Validation
Responsible Use
Integration Guides
Code Llama
LangChain
Llamalndex
Community Support
Resources
Integration guides
The pages in this section describe how to develop code-generation solutions based on
Code Llama
. They also provide information on
LangChain
and
LlamaIndex
, which are useful frameworks if you want to incorporate Retrieval Augmented Generation (RAG).
On this page
Integration guides