DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671B total parameters and 37B active per token. It leverages Multi-head Latent Attention (MLA) and DeepSeekMoE architectures for efficient training and inference. Trained on 14.8T high-quality tokens and refined through supervised fine-tuning and reinforcement learning, DeepSeek-V3 matches the performance of leading closed-source models while maintaining stability and cost-effectiveness throughout its training process.
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