embeddinggemma-2-coreai / python /requirements.lock
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# Exact versions of the environments this release was validated in (macOS 27, Apple silicon).
# Runtime (python/), Python 3.12 (the text path of v1.0 was also validated with Python 3.14):
coreai-core==1.0.0b3
numpy==2.4.6
pillow==12.3.0
tokenizers==0.23.3
huggingface-hub==2.2.0
# audio decoding (installed by requirements.txt; the runner falls back to macOS afconvert without it; the audio
# smoke tests of this release passed both with soundfile and without it, i.e. on the afconvert path):
soundfile==0.14.0
# Exporter (export/), on top of the runtime, Python 3.12:
coreai-torch==0.4.3
coreai-opt==0.3.0
torch==2.9.0
torchao==0.17.0
safetensors==0.8.0
ml-dtypes==0.6.0
networkx==3.7
scipy==1.18.1
packaging==26.3
# Reference vectors and preprocessing checks (tests/make_*_reference.py, tests/make_audio_preprocess_cases.py,
# tests/check_preprocess.py), a separate environment:
# sentence-transformers==6.1.0 transformers==5.19.0 torch==2.14.1 torchvision==0.29.1 pillow tokenizers==0.23.3 numpy==2.5.3
# soundfile==0.14.0 (libsndfile 1.2.2) soxr==1.1.0 (libsoxr 0.1.3) + ffmpeg 9.0.1 (AAC decoding of the reference)
# (pillow and torchvision are needed because the checkpoint's processor is multimodal, even for text-only use)