8-bit Open on Hugging Face
Parameters
10B
Weights (est.)
≈ 11.8 GB
Mac memory (est.)
16 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/GLM-4.1V-9B-Thinking-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- zai-org/GLM-4.1V-9B-Thinking (quantized)
- Vendor
- zai-org
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- mit
- Downloads
- 113 in the last 30 days · 1.0K all time · 3 likes
- Published
- 2026-07-31 · updated 2026-07-31 (3mo ago)
- Languages
- en, zh
- Tags
- glm4v, reasoning, thinking, vision-language, multimodal