Local LLM Auto Configurator
Local LLM Auto Configurator Headline Stop wasting hours on broken Ollama setups. One script. Instant local LLM environment. Introduction You've been there — three hours debugging why Ollama won't start, why your GPU isn't detected, why the model download keeps failing. This tool does the whole thing automatically: environment diagnosis, model download, and connection verification. Run it once. Your local LLM is ready. What It Does Smart Environment Diagnosis Automatically detects whether Ollama is installed and running. If NVIDIA GPU isn't found, it doesn't crash — it tells you exactly what to do instead and continues in CPU mode. Config-Driven Model Management Edit config.json with your model name and parameters. The tool handles the Ollama API calls to pull and register the model — no manual commands required. Built-in Connection Test After setup, it fires a test prompt ("Hello") at your local LLM and prints the response. You know immediately if everything is working, before you write a single line of your actual project. Requirements Python 3.8 or higher Ollama installed and running pip install requests No GPU required (CPU mode supported) Environment Variables Variable Required Default Description OLLAMA_API_URL Optional http://localhost:11434 Ollama API endpoint How to Use Install Ollama from ollama.com/download and start it Edit config.json — set your model_name (e.g. "llama3", "mistral") Run: python product.py The tool will diagnose your environment, pull the model, and confirm the connection automatically. Files Included product.py — main setup script config.json — model configuration (edit before running) README.md — setup guide (JP/EN) run.sh — one-click launcher (Mac/Linux) run.bat — one-click launcher (Windows) License For personal and business use by the purchaser only. Redistribution, resale, and unauthorized sharing are prohibited. Copyright © henkikobo
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