Factual package intelligence from PyPI
QLoRA fine-tuning of fused 4-bit Mixture-of-Experts on a single small GPU, on stock bitsandbytes.
pip install experts4bit-qlora
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2>=0.43The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
experts4bit-qlora publishes 1 wheel and 1 source archive for version 0.6.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .