Unverified50% confidenceFactExact time
GLM-OCR is a lightweight document OCR model with 0.9B (900 million) parameters.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/7/2026
First Seen
Valid until: 12/6/2026
Sources
Related Entities
Related Claims
UnverifiedAfter INT8 quantization, GLM-OCR can run inference on a single consumer-grade GPU (such as an RTX 3060/4060 with 12 GB VRAM) or even some mobile NPUs.66% similarUnverifiedGGUF is the default quantization format used by Ollama, optimized specifically for CPU and hybrid inference scenarios.64% similarUnverified该方案将DeepSeek-OCR-2、GLM-OCR、dots.mocr、PaddleOCR-VL、PP-OCRv6这五款开源OCR模型集中在同一个端点之后63% similarUnverifiedGLM-5.3-Flash, from Z.ai, is a multimodal MoE model with a total of 320B (320 billion) parameters, with only 18B parameters activated at any given time.63% similarUnverifiedThe GGUF quantization format was introduced by llama.cpp, keeping quantization precision loss within an acceptable range.59% similar
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