Zer0Fit本地MCP服务发布

Reddit开发者将Google新近发布的TabFM与TimesFM基础模型封装为本地MCP服务器，可通过Open WebUI、Claude Code或Codex连接本地LLM执行零样本预测、分类和回归任务。项目以Docker容器运行，支持CSV输入，约需16GB显存，并加入动态模型加载卸载机制。

事件进展（2 篇报道）

1. 2026-07-12 20:18
   Reddit r/LocalLLaMA Zer0Fit: I took Google's new TabFM & TimesFM ML foundation models and made them available as an MCP server for zero-shot ML tasks (forecasts / classifications / regressions). 100% local.
2. 2026-07-12 20:32
   Reddit r/MachineLearning Zer0Fit: I took Google's new TabFM & TimesFM ML foundation models and made them available as an MCP server for zero-shot ML tasks (forecasts / classifications / regressions). 100% local. [P]

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