Llama 3 is the latest language model from Meta. It has [state of the art performance](https://github.com/meta-llama/llama3/blob/main/eval_details.md) and a context window of 8000 tokens, double Llama 2's context window. To learn more about Llama 3 models, how to run Llama 3 with an API, or how to make Llama 3 apps, check out Replicate's [interactive blog post](https://replicate.com/blog/run-llama-3-with-an-api). ## Model Details Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety. **Model developers** Meta **Variations** Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and ins
