DBRX
DBRX is a mixture-of-experts transformer model developed by Databricks and Mosaic ML. Released on March 27, 2024, with 132 billion total parameters (36B active parameters per token). Available in base and instruction-tuned (dbrx-instruct) variants. Outperforms other open-source models in various benchmarks including language understanding, programming, and mathematics. Uses fine-grained mixture-of-experts (MoE) architecture with 16 experts and 4 active per token for efficient inference. Trained at approximately $10 million cost. Released under Databricks Open Model License (permissive for research and commercial use). Available through Databricks Foundation Models API, Hugging Face, and open-source model weights.
QUICK TIPS
USE CASE EXAMPLES
High-Performance Code Generation
Use DBRX for advanced code generation, refactoring, and software development tasks.
- Access DBRX through API or local deployment
- Provide detailed code requirements
- Generate high-quality code solutions
- Review and test generated code
Mathematical Problem Solving
Leverage DBRX's strong mathematical reasoning for complex problem-solving tasks.
- Input mathematical problems or equations
- Use DBRX's reasoning capabilities
- Get step-by-step solutions
- Validate mathematical accuracy
PRICING
Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.
FEATURED IN GUIDES
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