Find the AI Model Best Suitable for Your Hardware
Whichllm is a tool that allows you to identify the native large language models that perform best on your hardware. Focusing on current benchmarks rather than the number of parameters, this Python-based software allows you to choose the most suitable model with a single command.
Updates
- August 15, 2026: Stars 6,101 → 6,263, latest release v0.5.16 (August 14, 2026).
- August 2, 2026: Stars 3,679 → 6,101, latest release v0.5.15 (July 3, 2026).
What you get
- It determines the native language model best suited to your hardware with up-to-date benchmark data.
- It predicts performance by automatically detecting GPU and system features.
- It offers the opportunity to download models, start chats and create Python code samples with a single command.
Installation
uv tool install whichllm
uv tool upgrade whichllm # update an existing installbrew install andyyyy64/whichllm/whichllm
pip install whichllmRunning it
whichllmwhichllm run "qwen 2.5 1.5b gguf"If you don't write code
Using the Whichllm tool, I want to list the local big language models that best suit my hardware specifications and see the performance estimates of these models. How can I filter the models with the highest benchmark scores based on the GPU or CPU capacity in my system, as well as plan the hardware required for a particular model?
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-09: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.