Llama 3.1 70B Instruct (AWS Bedrock)

Llama 3.1 70B Instruct is the 70-billion-parameter, instruction-tuned member of Meta's Llama 3.1 family, delivered on AWS Bedrock under the model identifier meta.llama3-1-70b-instruct-v1:0. It is positioned as a general-purpose chat and assistant model built for tasks such as long-form reasoning, code generation, and tool-supported workflows, with text-in and text-out interfaces. AWS Bedrock exposes the variant with temperature control as a supported sampling capability, alongside tool calling for structured integrations, so developers can tune response style and wire the model into agentic pipelines through the managed Bedrock endpoint.

The Bedrock-hosted listing advertises a 128,000-token context window, allowing the model to ingest and reason over very long documents, multi-turn conversations, and sizable code bases in a single prompt. As an open-weights release from Meta, the underlying weights are intended to be downloadable and self-hostable under the Llama 3.1 community license, while Bedrock provides a managed, serverless deployment path that removes the need to provision infrastructure. This combination makes the model a practical fit for teams that want both the flexibility of an open-weights lineage and the operational simplicity of a cloud-hosted inference service for production assistants and retrieval-augmented applications.