DeepSeek today released a new model called DeepSeek-Prover-V2-671B on the AI open source community Hugging Face. It is reported that the DeepSeek-Prover-V2-671B uses a more efficient safetensors file format and supports a variety of computational precision, which makes it easier to train and deploy the model faster and less resourceful. The parameters reach 671 billion, or an upgraded version of the Prover-V1.5 mathematical model released last year. On the model architecture, the model uses Deep...
DeepSeek今日于AI开源社区Hugging Face上发布了一个名为DeepSeek-Prover-V2-671B的新模型。据悉,DeepSeek-Prover-V2-671B 使用了更高效的 safetensors文件格式,并支持多种计算精度,方便模型更快、更省资源地训练和部署,参数达6710亿,或为去年发布的Prover-V1.5数学模型升级版本。在模型架构上,该模型使用了DeepSeek-V3架构,采用MoE(混合专家)模式,具有61层T...