AlexsJones/llmfit
Hundreds of models & providers. One command to find what runs on your hardware.
This tool helps you quickly figure out which large language models (LLMs) will run effectively on your specific computer hardware. You input your hardware specifications (RAM, CPU, GPU), and it provides a ranked list of models, showing their estimated performance, memory usage, and how well they fit your system. This is for anyone looking to run LLMs locally on their own machine, from researchers experimenting with models to developers building local AI applications.
15,685 stars and 4,266 monthly downloads. Actively maintained with 157 commits in the last 30 days.
Use this if you want to find the best-performing LLMs for your computer's exact specifications without guessing or trial-and-error.
Not ideal if you plan to use cloud-based LLM services or if you are not concerned with optimizing model performance on your local hardware.
Stars
15,685
Forks
875
Language
Rust
License
MIT
Category
Last pushed
Mar 13, 2026
Monthly downloads
4,266
Commits (30d)
157
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/AlexsJones/llmfit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Community Discussion
Recent Releases
Related tools
victordibia/llmx
An API for Chat Fine-Tuned Large Language Models (llm)
Chen-zexi/vllm-cli
A command-line interface tool for serving LLM using vLLM.
InftyAI/llmaz
☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!
livehl/aimirror
🚀 200倍速!AI时代的下载神器 | Docker/PyPI/HuggingFace/CRAN 全加速 | 并行分片+智能缓存,让下载飞起来
TakatoHonda/sui-lang
粋 (Sui) - A programming language optimized for LLM code generation