Factual package intelligence from PyPI

kimi-k2-optimizer 0.1.0 package intelligence

Kimi K2.5 (1.1T) optimization suite for RTX 3090 with aggressive RAM optimization

pip install kimi-k2-optimizer

Current version
0.1.0
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
52.6 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

kimi-k2-optimizer dependencies

PyPI declares 41 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jupyter >=1.0.0
  2. ipykernel >=6.0.0
  3. torch >=2.4.0
  4. torchvision
  5. torchaudio
  6. transformers >=4.40.0
  7. accelerate >=0.30.0
  8. huggingface-hub >=0.23.0
  9. datasets >=2.19.0
  10. tokenizers >=0.19.0
  11. safetensors >=0.4.0
  12. vllm >=0.5.0 when sys_platform == "linux"
  13. sglang >=0.2.0 when sys_platform == "linux"
  14. llama-cpp-python >=0.2.90 when sys_platform == "linux"
  15. flashinfer-python >=0.1.0 when sys_platform == "linux"
  16. openai >=1.30.0
  17. aiohttp >=3.9.0
  18. psutil >=5.9.0

The compact report shows 18 of 41 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

kimi-k2-optimizer publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .

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