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cstr/glm-ocr-crispembed-GGUF

sourceHugging Faceotherupdated 2mo agoView on Hugging Face

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GLM-OCR CrispEmbed GGUF

GLM-Edge-V 2B vision-language model converted to GGUF for OCR with CrispEmbed.

Models

File	Quant	Size
`glm-ocr-f16.gguf`	F16	~3.8 GB
`glm-ocr-q8_0.gguf`	Q8_0	~2.0 GB
`glm-ocr-q4_k.gguf`	Q4_K	~1.1 GB

Architecture

—Base: GLM-Edge-V 2B (THUDM, Apache-2.0)
—Vision: SigLIP vision encoder
—LLM: GLM-4 decoder (2B params)
—Task: Document OCR, scene text, handwriting

Usage

python

from crispembed import CrispOcrPipeline

ocr = CrispOcrPipeline(vlm_model="glm-ocr-q8_0.gguf")
text = ocr.recognize("document.png")

Original Model

THUDM/glm-edge-v-2b — GLM-Edge-V 2B, CogViT + GLM-0.5B, 8 languages.

License

Apache-2.0

Licence — GLM-4 Model Licence, not Apache-2.0 (corrected 2026-08-02)

This repository declared license: apache-2.0. The upstream checkpoint `THUDM/glm-edge-v-2b` is released under the GLM-4 Model Licence, which is not Apache-2.0 and carries use restrictions Apache-2.0 does not. Converting the weights to GGUF changes their numeric representation, not their licence, so declaring Apache-2.0 here granted rights the upstream never granted.

Consult the upstream licence before using these weights; the terms that govern them are THUDM's, not this repository's.