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DeepSeek-V2: 236B MoE Model with Efficient Latent Attention

3). DeepSeek-V2 – a strong MoE 236B parameter model, of which 21B are activated for each token; supports a context length of 128K tokens and uses Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache into a latent vector…

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