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Run zai-org_GLM-4.6V-GGUF on a cloud GPU

zai-org_GLM-4.6V-GGUF is a Vision language models model by bartowski. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Rent A100 SXM4 from $0.72/hr
Parameters
107B
GPU memory needed
≈ 78 GB
License
mit
Downloads
1,499
Updated Dec 17, 2025

GPUs it fits on today

Our estimate is about 78 GB for inference with GGUF weights, including working memory. Real use depends on resolution, batch size and context length.

GPUMemoryPer hour10 hours
A100 SXM480 GB$0.72$7.20Rent
GB10119 GB$1.06$10.60Rent
RTX PRO 6000 Max-Q96 GB$1.72$17.20Rent
RTX PRO 6000 WS96 GB$2.30$23.00Rent
RTX 6000D84 GB$2.41$24.10Rent

Live starting prices from our catalog. You pay per second while the machine runs.

How to run zai-org_GLM-4.6V-GGUF

  1. 01

    Rent a GPU

    Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.

  2. 02

    Open a terminal or Jupyter

    Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.

  3. 03

    Download and run the model

    Run the commands below. The weights download straight from Hugging Face to your machine.

pip install -U "huggingface_hub[cli]"
huggingface-cli download bartowski/zai-org_GLM-4.6V-GGUF --local-dir ./model --include "*Q4_K_M*"
# llama.cpp: ./llama-server -m ./model/*.gguf --host 0.0.0.0 --port 8000

Why run it yourself?

Run document and image understanding on your own GPU: no per-image fee, and files stay on your machine.

Questions

How much GPU memory does zai-org_GLM-4.6V-GGUF need?
By our estimate about 78 GB for inference (107B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run zai-org_GLM-4.6V-GGUF?
From $0.72 per hour on A100 SXM4, billed per second. Ten hours cost about $7.20.
Do I need a subscription?
No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.

Try it on your own GPU in minutes

Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.

  • Per-second billing in USD
  • PyTorch and CUDA ready in minutes
  • Rent from ChatGPT or Claude too

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