DeepSeek-V3
Paper Link 👁️ Table of Contents 1. Introduction 2. Model Summary 3. Model Downloads 4. Evaluation Results 5. Chat
About this project
Paper Link 👁️ Table of Contents 1. Introduction 2. Model Summary 3. Model Downloads 4. Evaluation Results 5. Chat Website & API Platform 6. How to Run Locally 7. License 8. Citation 9. Contact 1. Introduction We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets a multi-token prediction training objective for stronger…
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