GitHub - Deepseek-ai/DeepSeek-Coder: DeepSeek Coder: let the Code Writ…
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Compared with free deepseek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of coaching prices, reduces the KV cache by 93.3%, and boosts the utmost era throughput to 5.76 times. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of specialists mechanism, permitting the model to activate only a subset of parameters throughout inference. As specialists warn of potential risks, this milestone sparks debates on ethics, safety, and regulation in AI development.
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