Using Llama 3.1 8B Instruct on Databricks Foundation Model Serving

Implementation guide · Llama 3.1 · AI at Meta

ProvisionedOpen Weights

Databricks Foundation Model Serving exposes Llama 3.1 8B Instruct through model ID llama3.1-8b-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Databricks Foundation Model Serving and generate an API key.
  2. 2
    Use the Databricks Foundation Model Serving SDK or REST API to call llama3.1-8b-instruct — see the documentation for request format.

Code Examples

Pricing on Databricks Foundation Model Serving

Capabilities

Structured Outputs

About Llama 3.1 8B Instruct

The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks.

Model Specs

Released2024-07-23
Parameters8B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

Databricks Foundation Model Serving

Databricks

San Francisco, California, United States