![]() Screenshot of DBRX describing Wikipedia | |
Developer(s) | Mosaic ML and Databricks team |
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Initial release | March 27, 2024 |
Repository | https://github.com/databricks/dbrx |
License | Databricks Open License |
Website | https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm |
DBRX is an open-sourced large language model (LLM) developed by Mosaic ML team at Databricks, released on March 27, 2024. [1] [2] [3] It is a mixture-of-experts transformer model, with 132 billion parameters in total. 36 billion parameters (4 out of 16 experts) are active for each token. [4] The released model comes in either a base foundation model version or an instruction-tuned variant. [5]
At the time of its release, DBRX outperformed other prominent open-source models such as Meta's LLaMA 2, Mistral AI's Mixtral, and xAI's Grok, in several benchmarks ranging from language understanding, programming ability and mathematics. [4] [6] [7]
It was trained for 2.5 months [7] on 3,072 Nvidia H100s connected by 3.2 terabytes per second bandwidth (InfiniBand), for a training cost of $10m USD. [1]