🧐👉 GLM-OCR: How Zhipu AI’s 0.9B Model Shakes Up Document Parsing #QixNewsAI

🚀 Zhipu AI just unleashed GLM-OCR, a 0.9B-parameter multimodal model designed to crush real-world document parsing and key information extraction!

GLM-OCR combines a 0.4B CogViT encoder and a 0.5B GLM decoder, using Multi-Token Prediction for up to 50% faster throughput. Its two-stage pipeline—layout analysis with PP-DocLayout-V3 and parallel region recognition—means it handles tables, formulas, and messy layouts like a pro.

On benchmarks like OmniDocBench and OCRBench, GLM-OCR scores among the best, though MinerU 2.5 and Gemini-3-Pro still lead in some areas. Deployment is flexible, supporting vLLM, SGLang, Ollama, and LLaMA-Factory fine-tuning, with a MaaS API priced at just 0.2 RMB per million tokens.

GLM-OCR proves compact models can deliver serious performance for document AI tasks. 🔥

#GLM-OCR #ZhipuAI #document_parsing #OCR_benchmark #multimodal_AI #QixNewsAI #Shorts

Видео 🧐👉 GLM-OCR: How Zhipu AI’s 0.9B Model Shakes Up Document Parsing #QixNewsAI канала QixNews