Most local LLM guides give you a list of models and leave the rest to you. LLM Go does the decision for you. You tell it your hardware (RAM, VRAM, OS, GPU), your task (coding assistant, agentic coding, repo Q&A, general chat), your quality priority, and your monthly AI spend. It returns: - The best local model for your exact setup - Which quant fits your memory - Which runtime to use (Ollama, LM Studio, llama.cpp, MLX) - The exact setup command - A local vs. cloud cost verdict with break-even estimate - Ranked alternatives with reasons to avoid No login required for the core recommendation. Detect your hardware automatically or enter specs manually. Edit anything that looks wrong. I kept running the same mental checklist every time a new model dropped: will this fit in 16GB? Which quant? Does Ollama support it yet? Is it actually better than what I'm already paying for? LLM Go automates that checklist. Free at llmgo.dev. Supports 6 languages.

LLM Go

Which LLM fits your machine? LLM, Go!

Which LLM fits your machine? LLM, Go!