#94 · Primary category： Inference & Local Deploy
llm-checker
Advanced CLI tool that scans your hardware and tells you exactly which LLM or sLLM models you can run locally, with full Ollama integration.
Project last updated：08/28/26
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Why we included this project
Choosing a model to run locally usually means guessing whether your hardware can handle it. This CLI does that work for you: it scans your actual hardware, including VRAM, memory bandwidth, GPU family, and CPU, then scores every model it knows about on quality, speed, fit, and context. Those scores draw on a multi-source registry of more than 33,000 exact model artifacts from Hugging Face, Ollama, and GPT4All, so the recommendations point at real downloadable files with per-source commands rather than vague suggestions. If you run Ollama, it plugs in directly and lets you confirm what your system can handle before you pull multi-gigabyte weights. The hardware-calibrated memory estimates help you avoid overcommitting a workstation, turning what is usually trial and error into a quick terminal check.
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