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DBRX Instruct

New Text Gen
Released: March 27, 2024

Overview

DBRX Instruct is Databricks’ chat-tuned Mixture-of-Experts model (≈132B total, subset active per token) optimized for helpful, safe, and reliable instruction following. It supports long context, tool/function calling, and structured JSON outputs—great for RAG copilots, analytics, and coding help.

Description

DBRX Instruct is the aligned, conversation-ready version of Databricks’ DBRX MoE foundation model. It’s fine-tuned for clear, step-by-step reasoning, grounded answers, and careful refusals when prompts are unsafe—so you can drop it into apps without custom alignment work. The MoE router activates only a small set of experts per token, yielding high quality with strong throughput and cost efficiency.

Key capabilities

Long-context reasoning (repo-scale docs, multi-file code, lengthy chats)

Tool/function calling with arguments, parallel calls, and JSON-schema outputs

Retrieval-friendly behavior for citing sources and following grounding instructions

Code generation, refactoring, and explanation across popular languages

Streaming responses and deterministic formatting modes for production pipelines

Typical uses

Enterprise copilots over private data (RAG)

Analytics and BI assistants that write SQL/Python and explain results

Developer assistants for code review, test generation, and migration

Agentic workflows that orchestrate tools, workflows, and APIs

Deploy on Databricks Mosaic AI or standard inference stacks (e.g., vLLM/Transformers); fine-tune with LoRA/DPO if you need domain style or policies. Choose DBRX Instruct when you want a ready-to-use, safe-by-default model; use DBRX Base when you need a pretrain checkpoint for custom alignment.

About Databricks

Databricks is a global data, analytics, and AI company that pioneered the data lakehouse architecture.

Industry: Information Technology
Company Size: 1001-5000
Location: San Francisco, CA, US
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Last updated: September 22, 2025