Deepseek training 2T and plans 8T model

localllama (Reddit)，r/LocalLLaMA，约 72.8 万成员的社区，专注于在本地硬件上运行大语言模型，涵盖模型选择、GPU 配置、量化技术、Ollama 与 llama.cpp 等工具，以及隐私优先的 AI 工作流。关注

Quote: DeepSeek is training a 2T-parameter model and plans to eventually build an 8T-parameter model. x.com/wallstengine/status/2101982843656388644 Current DeepSeek models: Flash parameter count of 552 billion Pro: 1.6T (trillion) total parameters with 49B (billion) activated weights per token Mythos / Fable is estimated to be 10T parameter count.

添加评论
点赞收藏
点踩分享查看原文
评论
?
参与讨论