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GLM-OCR to CoreML conversion

Notebooks and assets to convert GLM-OCR to CoreML for iOS/macOS.

Contents

  • glm_ocr_coreml_v4.ipynb โ€“ Main conversion notebook (vision encoder + optional decoder, quantization, accuracy check). Use this.
  • glm_ocr_coreml.ipynb โ€“ Older notebook variant.
  • glm_ocr_coreml_requirements.txt โ€“ Python dependencies (Python 3.10+ recommended; transformers main branch required for GLM-OCR).

Requirements

  • Python 3.10+
  • PyTorch, transformers (from main), coremltools 7.2+

Quick start

  1. Create a venv with Python 3.10+ and install:
    pip install -r glm_ocr_coreml_requirements.txt
    pip install "git+https://github.com/huggingface/transformers.git@main"
    
  2. Open glm_ocr_coreml_v4.ipynb and run cells top to bottom.
  3. Outputs go to glm_ocr_coreml/ (vision_encoder.mlpackage, model_spec.json, etc.).

Note

  • .venv_glm_ocr is not included; create your own venv with Python 3.10+.
  • Converted .mlpackage files can be uploaded separately if needed (they are large).
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