llama-parameter-scout automates benchmarking of llama.cpp models across a wide range of candidate configurations. It helps identify optimal settings for speed, memory usage, and quality. A specialized tool for local LLM optimization and research.
llama-parameter-scout is a Data science & ML workbench project. Efficiently testing and comparing llama.cpp model performance across different parameter and configuration combinations. llama-parameter-scout is an open-source project aimed at developers. llama-parameter-scout is open source under the Apache-2.0 license. It ships for the command line, and it can be self-hosted.
Behind llama-parameter-scout is LStoneyy, and it first shipped in 2026. Development happens publicly on GitHub with 44 commits in the last 90 days. Among its 4 catalogued features are benchmarking, Parameter Search, and Performance Comparison.
Summary written by a language model from the project’s public pages.
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