Factual package intelligence from PyPI

turbo-attn 0.29.0 package intelligence

Optimized CUDAgraph-enabled kernels and attention backend for vLLM, SGLang and more based on TurboQuant near-lossless KV cache compression. SOTA performance with Gemma 4, Qwen 3.6 and other modern LLM

pip install turbo-attn

Current version
0.29.0
Python requirement
>=3.10
License
MPL-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.6 MiB
Release history
79 releases with files
Median release cadence
0 days

turbo-attn dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.1

The compact report shows 12 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

turbo-attn publishes 1 wheel and 1 source archive for version 0.29.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for turbo-attn 0.29.0

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.

Release activity and sources

PyPI lists 79 releases with files. The first dated release is ; 79 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.