深度求索开源的 671B 参数 MoE 大模型,每个 token 只激活约 37B 参数,把推理成本压得很低。权重、推理代码与技术报告全部公开,训练成本量级与工程细节透明,是开源阵营里被复现和二次训练最多的基座之一。 🔗 GitHub Stars: 104k+
DeepSeek's 671B-parameter MoE model that activates roughly 37B parameters per token, cutting inference cost sharply. Weights, inference code and a detailed technical report are all public, which made it one of the most reproduced open bases. 🔗 GitHub Stars: 104k+
DeepSeek-V3 belongs to the Open Source LLMs category on hedirbase. Tagged with: llm,open-source,moE,deepseek,reasoning.
DeepSeek's 671B-parameter MoE model that activates roughly 37B parameters per token, cutting inference cost sharply. Weights, inference code and a detailed technical report are all public, which made