OPEN MODELS / Vision language models
Run GLM-4.6V-Flash-MLX-4bit on a cloud GPU
GLM-4.6V-Flash-MLX-4bit is a Vision language models model by lmstudio-community. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.
GPUs it fits on today
The model card does not list its size, so we cannot estimate its memory yet.
No GPU with enough memory is available right now. Check the catalog again later.
Live starting prices from our catalog. You pay per second while the machine runs.
How to run GLM-4.6V-Flash-MLX-4bit
- 01
Rent a GPU
Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.
- 02
Open a terminal or Jupyter
Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.
- 03
Download and run the model
Run the commands below. The weights download straight from Hugging Face to your machine.
pip install -U vllm
vllm serve lmstudio-community/GLM-4.6V-Flash-MLX-4bit --host 0.0.0.0 --port 8000Why run it yourself?
Run document and image understanding on your own GPU: no per-image fee, and files stay on your machine.
Questions
- 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