Using Llama 3 8B Instruct on Databricks Foundation Model Serving

Implementation guide · Llama 3 · AI at Meta

ProvisionedOpen Weights

Databricks Foundation Model Serving exposes Llama 3 8B Instruct through model ID llama3-8b-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 llama3-8b-instruct — see the documentation for request format.

Code Examples

Pricing on Databricks Foundation Model Serving

Capabilities

Structured Outputs

About Llama 3 8B Instruct

The Llama 3 8B Instruct model, released on April 18, 2024, is Meta's latest instruction-following language model with 8 billion parameters. It utilizes an auto-regressive transformer architecture with Grouped-Query Attention for improved scalability. Trained on over 15 trillion tokens and fine-tuned with 10 million human-annotated examples, it excels in dialogue and conversational tasks. The model outperforms its predecessors on industry benchmarks, scoring 68.4 on MMLU (5-shot). Designed for commercial and research applications, it prioritizes safety and helpfulness, making it suitable for chatbots, virtual assistants, and other interactive AI applications. For more details, visit the Hugging Face page [1].

Model Specs

Released2024-04-18
Parameters8B
Context8k
ArchitectureDecoder Only
Knowledge cutoff2023-03

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Provider

Databricks Foundation Model Serving

Databricks

San Francisco, California, United States