DBRX

Large language model From Wikipedia, the free encyclopedia

DBRX is a large language model (LLM) developed by Mosaic under its parent company Databricks, released on March 27, 2024 under the Databricks Open Model License.[3][4][5] 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.[6] The released model comes in either a base foundation model version or an instruction-tuned variant.[7]

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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.[6][8][9]

It was trained for 2.5 months[9] and reported using on 3,072 Nvidia H100s connected by 3.2 terabytes per second bandwidth (InfiniBand), for a training cost of US$10M.[3][non-primary source needed]

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