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coremltools-9.0.tar.gz 2025-11-10 1.7 MB
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coremltools-9.0-cp313-none-manylinux1_x86_64.whl 2025-11-10 2.3 MB
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coremltools-9.0-cp313-none-macosx_11_0_arm64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp313-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp312-none-manylinux1_x86_64.whl 2025-11-10 2.3 MB
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coremltools-9.0-cp312-none-macosx_11_0_arm64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp312-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp311-none-manylinux1_x86_64.whl 2025-11-10 2.3 MB
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coremltools-9.0-cp311-none-macosx_11_0_arm64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp311-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp310-none-manylinux1_x86_64.whl 2025-11-10 2.3 MB
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coremltools-9.0-cp310-none-macosx_11_0_arm64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp310-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp39-none-manylinux1_x86_64.whl 2025-11-10 2.3 MB
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coremltools-9.0-cp39-none-macosx_11_0_arm64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp39-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp38-none-manylinux1_x86_64.whl 2025-11-10 2.3 MB
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coremltools-9.0-cp38-none-macosx_11_0_arm64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp38-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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coremltools-9.0-cp37-none-manylinux1_x86_64.whl 2025-11-10 2.5 MB
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coremltools-9.0-cp37-none-macosx_10_15_x86_64.whl 2025-11-10 2.8 MB
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Coremltools 9.0 source code.tar.gz 2025-11-05 27.3 MB
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Coremltools 9.0 source code.zip 2025-11-05 30.6 MB
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README.md 2025-11-05 766 Bytes
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Totals: 24 Items   112.0 MB 0

Compare to 8.3.0 (including features from 9.0b1)

  • Added Python 3.13 support.
  • Bug fix related to upsample_bilinear.
  • Fixed the lowering of broadcast_to for symbolic and dynamic shapes.
  • Support for model input/output with int8 dtype.
  • Ability to read and write model state.
  • iOS26/macOS26/watchOS26/tvOS26 deployment targets.
  • AllowLowPrecisionAccumulationOnGPU optimization hint.
  • Support for PyTorch 2.7 and ExecuTorch 0.5.
  • Additional metadata automatically added to converted models.
  • Optimize im2col PyTorch operation.
  • Various other bug fixes, enhancements, clean ups and optimizations.

Special thanks to our external contributors for this release: @orena1 , @M-Quadra, @noobsiecoder, @metascroy, @hasn77, @Pranaykarvi

Source: README.md, updated 2025-11-05