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Zer0Fit: MCP server for zero-shot ML with Google TabFM & TimesFM

Zer0Fit is an MCP server that wraps Google's TabFM and TimesFM foundation models, enabling zero-shot classification, regression, and forecasting via a local LLM. It allows users to perform ML tasks without training or tuning, connecting to Open WebUI, Claude Code, or Codex. Built for developers and researchers who want quick, local ML inference.

5 engagement·1 source·Sun, Jul 12, 2026, 12:18 PM
A single Docker container serving both transformer models. Tested on Iris (94.7% accuracy) and California Housing (R2 0.87). Requires ~1GB RAM. Tech stack: MCP protocol, Docker, TabFM, TimesFM.

Entities

Codex(tool)Claude Code(tool)Google(company)Open WebUI(tool)MCP(tool)TabFM(model)TimesFM(model)Iris(benchmark)California Housing(benchmark)

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0 engagement·1 source·rss
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Tool ReleaseTue, Jul 7, 2026, 04:52 PM

llm-eyes tool lets any blind LLM see via tiny local VLM

A GitHub project called llm-eyes bolts a tiny vision-language model (Qwen3.5-0.8B) onto any machine as a local vision service, enabling text-only models like DeepSeek V4 Flash, Qwen, and Llama to caption images, watch webcams, or read video. It runs on Mac (MLX), PC+NVIDIA (llama.cpp), and DGX Spark, and exposes an OpenAI-compatible API.

23 engagement·1 source·github
ProductFri, Jul 10, 2026, 09:48 AM

Interactive app teaching LLM pipeline from pattern matching to transformer training

An interactive web app that walks through every stage of the LLM pipeline, from basic pattern matching to training a transformer from scratch. It includes working code that users can run locally, making it an educational tool for developers and learners.

32 engagement·1 source·github