r/MachineLearning
7/12/2026
Zer0Fit: Open-source MCP server for Google's TabFM & TimesFM zero-shot ML models
Original: 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]
Short summary
A grad student built Zer0Fit, an open-source MCP server wrapping Google's newly released TabFM and TimesFM foundation models for zero-shot tabular ML tasks. The Docker-based tool lets users perform classification, regression, and forecasting through chat clients like Open WebUI and Claude Code without training models. Tested on classic datasets with strong results (94.7% accuracy on Iris, R2 of 0.91 on California Housing). Requires 16GB+ VRAM and CUDA.
- •Zer0Fit wraps Google's TabFM and TimesFM as an MCP server for zero-shot ML via chat
- •Tested on Iris (94.7% accuracy) and California Housing (R2=0.91) with no model training
- •Requires 16GB+ VRAM, CUDA-only, runs in a single Docker container with dynamic model loading
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