Zer0Fit: Local MCP Wrapper for TabFM/TimesFM
Porespellar · reddit · 2026-07-12
The author created a locally available MCP service for Google's newly released **TabFM** and **TimesFM**, named **Zer0Fit**. The goal is to enable local LLMs to perform zero-shot ML tasks like tabular classification, regression, and time-series forecasting directly via a chat interface. Project highlights: - Runs as a single Docker container with dynamic model loading/unloading; TTL is set to 5 minutes to save VRAM. - Currently supports CSV, with future plans for XLS/XLSX/JSON/JSONL. - Supports only CUDA / NVIDIA environments. The author notes it works on devices like DGX Spark, 3090, and H100, requiring at least ~16GB VRAM. - Test datasets include Iris, California Housing, and Airline Passengers. The author achieved 94.7% accuracy on Iris and an R2 of 0.91 for regression. - Provides an Open WebUI Skill.md, along with integration support for Claude Code and Codex CLI. The author believes these foundation models effectively "GenAI-ify" parts of traditional ML, making them accessible for regular users to "try out" model capabilities without manual hyperparameter tuning.
Related event: Zer0Fit: Local MCP Server for TabFM and TimesFM(2 posts)→
More from coding & agent
- uv-scripts/ocr returns to the top of Hugging Face datasets with a JSON model picker — vanstriendaniel · 2026-07-21
- Sonar CEO says a guide-verify-solve loop cuts coding-agent issues by 92% — alex_verem · 2026-07-21
- A creator built an Awwwards-style landing page with ChatGPT 5.6 Sol in one conversation — paw_lean · 2026-07-21
- OpenAI’s Build Week buildathon drew 40 people for 11 hours with Codex — paw_lean · 2026-07-21
- Workshop to cover loop and graph engineering for AI-native software engineering — Al_Grigor · 2026-07-21
- Production agents may need a new PaaS layer built around audit and recovery — percoAi · 2026-07-21