DBRX Models

DBRX is an open, general-purpose language model developed by Databricks. Designed to enhance the capabilities of AI applications, DBRX stands out with its state-of-the-art architecture and robust training methodologies.

What is DBRX?

DBRX is a transformer-based decoder-only large language model (LLM) trained specifically for next-token prediction. With its sophisticated implementation of a fine-grained mixture-of-experts (MoE) architecture, DBRX boasts a remarkable 132 billion total parameters. Notably, it can actively engage 36 billion parameters on any given input, ensuring high performance across various tasks.

Training and Performance

One of the key features that set DBRX apart from its competitors is the extensive data set used during its pre-training phase. DBRX was trained on a staggering 12 trillion tokens of text and code, providing it with a broad understanding of language nuances, programming concepts, and contextual relevance. As a result, DBRX excels particularly in coding tasks, outperforming even specialized models like CodeLLaMA-70B in programming-related applications.

Key Features of DBRX

• High Parameter Efficiency: With 132B parameters and 36B active at a time, DBRX delivers comprehensive understanding and generation of language.
• Extensive Training Dataset: Trained on 12 trillion tokens of text and code, making it versatile for multiple applications.
• Advanced Code Assistance: Demonstrates superior competency in programming tasks, making it an ideal tool for developers and programmers.
• Open and General-Purpose: Designed for a wide range of applications, from casual conversation to technical coding help.