GLM has announced the release of an open-source Optical Character Recognition (OCR) model, named GLM-OCR, now available on the Hugging Face platform.

Model Details

According to initial indications, GLM-OCR is a relatively lightweight model, with an estimated 1.4 billion total parameters. This architecture consists of two main elements: a vision model of approximately 0.9 billion parameters, dedicated to image analysis, and a language model of approximately 0.5 billion parameters, responsible for interpreting the extracted text.

The contained size of the model suggests a potential for fast inference, making it suitable for scenarios where processing speed is a critical factor. This could include applications such as data extraction from documents, automation of reading processes, and integration into embedded systems with limited resources.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these trade-offs.