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Run Groot-19B-A3B-261023-APEX-I-MiniPlus-V2.1-GGUF on a cloud GPU

Groot-19B-A3B-261023-APEX-I-MiniPlus-V2.1-GGUF is a Vision language models model by IsValorum. 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 Tesla V100 from $0.20/hr
Parameters
19B
GPU memory needed
≈ 15 GB
License
apache-2.0
Downloads
11,534
Updated Nov 11, 2026

GPUs it fits on today

Our estimate is about 15 GB for inference with GGUF weights, including working memory. Real use depends on resolution, batch size and context length.

GPUMemoryPer hour10 hours
Tesla V10016 GB$0.20$2.00Rent
RTX A400016 GB$0.21$2.10Rent
RTX 5060 Ti16 GB$0.23$2.30Rent
RTX 2080 Ti22 GB$0.25$2.50Rent
Q RTX 500016 GB$0.27$2.70Rent

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

How to run Groot-19B-A3B-261023-APEX-I-MiniPlus-V2.1-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 IsValorum/Groot-19B-A3B-261023-APEX-I-MiniPlus-V2.1-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 Groot-19B-A3B-261023-APEX-I-MiniPlus-V2.1-GGUF need?
By our estimate about 15 GB for inference (19B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run Groot-19B-A3B-261023-APEX-I-MiniPlus-V2.1-GGUF?
From $0.20 per hour on Tesla V100, billed per second. Ten hours cost about $2.00.
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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