Factual package intelligence from PyPI
39% faster TTFT, 67% less KV cache, zero config — autotune optimises local LLMs on Ollama, LM Studio, and MLX
pip install llm-autotune
PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=8.1>=0.110>=0.27>=21.0>=5.9>=9.0>=2.0>=13.0>=0.29The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.
llm-autotune publishes 1 wheel and 1 source archive for version 1.6.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 27 releases with files. The first dated release is ; 27 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .