Factual package intelligence from PyPI

vllm-tuner 0.1.6 package intelligence

A Python package for tuning vLLM hyperparameters.

pip install vllm-tuner

Current version
0.1.6
Python requirement
<3.14,>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
334.2 KiB
Release history
7 releases with files
Median release cadence
2 days

vllm-tuner dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. fire ~=0.7.1
  2. huggingface-hub
  3. joblib ~=1.5.2
  4. loguru ~=0.7.3
  5. optuna ~=4.7.0
  6. pandas ~=3.0.0
  7. pydantic-settings >=2.13.0
  8. pydantic <2.13.0,>=2.11.1
  9. pyyaml >=6.0
  10. rich ~=14.3.0
  11. setuptools >=75.6.0

The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vllm-tuner publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.