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whichllm
Andyyyy64/whichllm
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
★6.2kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging apple-silicon and benchmarks, built with Python, open-source
Who made it?Maintained by Andyyyy64 team, 6.2K⭐ on GitHub, #302 out of 3133 in Data & Infrastructure
Why does it exist?With the growing demand for apple-silicon and benchmarks in Data & Infrastructure, Andyyyy64 created whichllm as a streamlined solution.
What can it do?Key use cases: cli, command-line-tool, gguf
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Andyyyy64/whichllm
🔗 github.com/Andyyyy64/whichllm
Topics
aiapple-siliconbenchmarksclicommand-line-toolggufgpuhuggingfaceinferencellmlocal-llmollamapythonvram