DeepSeek-V3

DeepSeek-V3 is a Mixture-of-Experts (MoE) language model boasting 671 billion parameters, designed for efficient inference and cost-effective training through advanced architectures like Multi-head Latent Attention (MLA). Its unique features include an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective, enabling superior performance compared to both open-source and leading closed-source models, while maintaining stability and requiring minimal GPU hours for training.