DeepSeek-V2
DeepSeek-V2 is an advanced MoE language model featuring efficient operation with only a fraction of its total parameters engaged, leading to a 42.5% reduction in training costs and a 93.3% decrease in KV cache. Pretrained on a vast dataset and fine-tuned for excellence, it delivers superior performance on diverse benchmarks, including English and Chinese, coding, and long-form dialogue tasks. Discover innovations in its architecture and utilize it through Chat, API platforms, or local deployment for enhanced productivity.
