[GitHub Trending] AlexsJones/llmfit

6.5 relevance

Tool to find compatible LLM models for local hardware, actionable for AI/ML deployment and relevant to developer experience.

AI/ML github.com

Answer the board on AI readiness

Arrive with evidence, not opinion. See how your foundation benchmarks against your peers, get a clear read, and leave with a ranked place to start.

Why It Matters

For platform and AI engineers evaluating local model deployment, llmfit eliminates guesswork by providing hardware-specific, community-verified performance data, enabling precise model selection for edge or dev environments without cloud dependency.

Key Takeaways

Run `llmfit bench` to measure real tok/s on your hardware and contribute results to improve fit estimates for the community.

Hundreds of models & providers. One command to find what runs on your hardware. - AlexsJones/llmfit

Summary

llmfit is an open-source Rust CLI/TUI tool that right-sizes LLM models to local hardware by detecting RAM, CPU, GPU, and VRAM, then scoring models across memory fit, estimated speed, quality, and context. It supports multi-GPU, MoE architectures, dynamic quantization, and local runtimes (Ollama, llama.cpp, MLX, LM Studio). A new benchmark feature lets users measure real tok/s on their machine and contribute results via PR, replacing estimates with verified data for identical hardware configurations.

Author

AlexsJones