signerless/llm-checker

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2935 stars · 197 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Node.js CLI tool that scans your hardware (GPU, VRAM, CPU, memory) and recommends which LLM or small language models you can run locally, scoring models across quality, speed, fit, and context. It integrates with Ollama and draws from a multi-source registry of 33k+ artifacts from Hugging Face, Ollama, and GPT4All.

Use cases

• find which LLM models my GPU can run locally
• recommend an Ollama model for my VRAM
• check if my hardware can run a 70B model
• pick the best small language model for my laptop
• compare local LLM models by speed and quality for my machine
• estimate memory needed for a quantized model

When to choose

• you want to run LLMs locally with Ollama and are unsure which models fit your hardware
• you need hardware-aware recommendations across many model variants and quantization levels
• you want a zero-native-dependency Node.js tool with multi-GPU detection

When to avoid

• you only run models in the cloud or via APIs and never locally
• you need a GUI-based model manager rather than a CLI
• you need a permissively licensed tool (license is NPDL-1.0, not standard open source)

Facets

cli-tool · maturity active

cli llm-inference developer-tools machine-learning large-language-models developer-tools machine-learning cli cross-platform windows ollama hardware-detection model-recommendation vram quantization local-ai mcp command-line nodejs macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="signerless/llm-checker")