whichllm is a command-line tool for finding local large language models that can realistically run on a user’s hardware. It detects the machine’s available resources, including GPU, CPU, memory, and storage, then recommends models based on practical fit rather than parameter count alone. The project is useful for users who are unsure which local LLM will perform well on their system. It focuses on real, recency-aware benchmarks so recommendations better reflect current model performance. whichllm is especially helpful for developers, AI hobbyists, and researchers comparing local inference options across NVIDIA, AMD, Apple Silicon, and CPU-only environments. Its main value is reducing guesswork when choosing a local model to download and run.

Features

  • Local LLM recommendation CLI
  • Hardware detection workflow
  • GPU, CPU, RAM, and disk awareness
  • Recency-aware benchmark ranking
  • NVIDIA, AMD, and Apple Silicon support
  • Python 3.11 or higher requirement

Project Samples

Project Activity

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

1 day ago