Llama 4 family of models from Meta are now available in SageMaker JumpStart

Today, we’re excited to announce the availability of Llama 4 Scout and Maverick models in Amazon SageMaker JumpStart and coming soon in Amazon Bedrock. Llama 4 represents Meta’s most advanced multimodal models to date, featuring a mixture of experts (MoE) architecture and context window support up to 10 million tokens. With native multimodality and early fusion technology, Meta states that these new models demonstrate unprecedented performance across text and vision tasks while maintaining efficient compute requirements. With a dramatic increase on supported context length from 128K in Llama 3, Llama 4 is now suitable for multi-document summarization, parsing extensive user activity for personalized tasks, and reasoning over extensive codebases. You can now deploy the Llama-4-Scout-17B-16E-Instruct, Llama-4-Maverick-17B-128E-Instruct, and Llama-4-Maverick-17B-128E-Instruct-FP8 models using SageMaker JumpStart in the US East (N. Virginia) AWS Region.

In this blog post, we walk you through how to deploy and prompt a Llama-4-Scout-17B-16E-Instruct model using SageMaker ...