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 # Llama Recipes: Examples to get started using the Llama models from Meta
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-The 'llama-recipes' repository is a companion to the [Meta Llama](https://github.com/meta-llama/llama-models) models. The goal of this repository is to provide a scalable library for fine-tuning Meta Llama models, along with some example scripts and notebooks to quickly get started with using the models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Meta Llama and other tools in the LLM ecosystem. The examples here showcase how to run Meta Llama locally, in the cloud, and on-prem. [Meta Llama 2](https://github.com/meta-llama/llama-models/tree/main/models/llama2) is also supported in this repository. We highly recommend everyone to utilize [Meta Llama 3.1](https://github.com/meta-llama/llama3/tree/main/models/llama3_1) due to its enhanced capabilities.
+The 'llama-recipes' repository is a companion to the [Meta Llama](https://github.com/meta-llama/llama-models) models. We support the latest version, [Llama 3.1](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md), in this repository. The goal is to provide a scalable library for fine-tuning Meta Llama models, along with some example scripts and notebooks to quickly get started with using the models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama and other tools in the LLM ecosystem. The examples here showcase how to run Llama locally, in the cloud, and on-prem. 
 
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 > [!IMPORTANT]