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A comprehensive toolkit for fine-tuning medical large language models with RAG capabilities
pip install medllm-finetune-rag
All files for this release are marked as yanked on PyPI.
PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.0.0>=4.35.0>=0.14.0>=2.14.0>=0.24.0>=0.6.0>=0.7.0>=1.3.0>=1.24.0>=2.0.0>=2.2.0The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.
medllm-finetune-rag publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
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 .
1 historical release is fully yanked in PyPI metadata.