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GLM-4.1V-9B-Thinking-4bit

mlx-community/GLM-4.1V-9B-Thinking-4bit
Vision + text · transformers
4-bit Open on Hugging Face
Parameters
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Weights (est.)
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Mac memory (est.)
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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-4bit --image photo.jpg --prompt "Describe this image"

Details

Base model
zai-org/GLM-4-9B-0414 (quantized)
Vendor
zai-org
Task
Vision + text
Quantisation
4-bit
Licence
mit
Downloads
84 in the last 30 days · 842 all time · 0 likes
Published
2025-11-10 · updated 2025-11-10 (1y ago)
Languages
en, zh
Tags
glm4v, reasoning

Other MLX builds of zai-org/GLM-4-9B-0414

Build Quantisation Weights Mac memory Downloads
GLM-4-9B-0414-4bit 4-bit ≈ 5.3 GB 8 GB+ 852
GLM-4-9B-0414-6bit 6-bit ≈ 7.6 GB 16 GB+ 59
GLM-4-9B-0414-8bit 8-bit ≈ 10.0 GB 16 GB+ 114
GLM-4-9B-0414-bf16 bf16 ≈ 18.8 GB 24 GB+ 63
GLM-4.1V-9B-Thinking-4bit (this one) 4-bit — — 84
GLM-4.1V-9B-Thinking-5bit 5-bit — — 60