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Open source large model DBRX: 132 billion parameters, 1x faster than Llama2-70B
Big data company Databricks has sparked a buzz in the open source community with the recent release of a MoE big model called DBRX, which has beaten open source models such as Grok-1 and Mixtral in benchmarks to become the new open source king. The model has 132 billion total parameters, but only 36 billion parameters per activation, and it generates them 1x faster than Llama2-70B. DBRX is composed of 16 expert models with 4 experts active per inference and a context length of 32 K. To train DBRX, Data...
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