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A high-performance Vision-Language-Action (VLA) model fine-tuning library optimized for NVIDIA L4 and T4 hardware.
pip install fastvla
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.28.0>=0.42.0>=2.16.0>=3.10.0>=0.26.0<2.0.0,>=1.24.0>=4.7.0>=1.5.0>=10.0.0>=0.9.12>=2.2.0>=0.17.0The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
fastvla publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .