GitHub - Deepseek-ai/DeepSeek-Coder: DeepSeek Coder: let the Code Writ…

Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of training prices, reduces the KV cache by 93.3%, and boosts the maximum technology throughput to 5.76 instances. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of experts mechanism, allowing the model to activate only a subset of parameters throughout inference. As specialists warn of potential dangers, this milestone sparks debates on ethics, safety, and regulation in AI growth.