DeepSeek Open-Sources V3 Architecture with 671B Sparse MoE

DeepSeek has publicly released model weights and complete technical specifications for DeepSeek-V3. Utilizing Multi-Head Latent Attention (MLA) and DeepSeekMoE architecture, the model activates only 37 billion of its 671 billion parameters per token, delivering competitive reasoning performance at an unprecedented cost reduction.

Original publisher attribution: HuggingFace Wire Visit Original Publication