DBRX by Databricks
DBRX is an open-weight Mixture-of-Experts (MoE) large language model developed by Databricks. It features 132 billion total parameters, with 36 billion active during inference, and is optimized for tasks like coding, reasoning, and language understanding. DBRX is available in two variants—Base and Instruct—and delivers state-of-the-art performance across major open benchmarks. It is built using Databricks' open LLM pretraining framework and designed for efficient deployment across enterprise environments.
Key Features:
Mixture-of-Experts Architecture: Utilizes 16 experts with 4 active per token, balancing performance and efficiency.
Instruction and Base Variants: Available as both a pretrained base model and an instruction-tuned version for chat and task completion.
Open-Source Access: Weights and training framework are available for research and commercial use via Hugging Face and GitHub.
Performance Benchmarks: Achieves top-tier scores on MMLU, HumanEval, GSM8K, and other open evaluations.
Enterprise Alignment: Built by Databricks to integrate with modern AI workflows, data pipelines, and large-scale compute environments.
Example Use Cases:
Developing intelligent chatbots and customer service tools.
Performing advanced reasoning and document analysis.
Generating and debugging code in multi-language environments.
Researching model scaling and efficiency with MoE architecture.