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OPEN MODELS / Language models (LLM)

Run GritLM-7B on a cloud GPU

GritLM-7B is a Language models (LLM) model by GritLM. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.

Parameters
7.2B
GPU memory needed
≈ 19 GB
License
apache-2.0
Downloads
5,627
Updated Mar 5, 2026

GPUs it fits on today

Our estimate is about 19 GB for inference with BF16 weights, including working memory. Real use depends on resolution, batch size and context length. With 4-bit quantization it needs about 7 GB.

GPUMemoryPer hour10 hours
RTX 2080 Ti22 GB$0.20$2.00Rent
Tesla P4024 GB$0.24$2.40Rent
RTX 4000Ada20 GB$0.35$3.50Rent
RTX 309024 GB$0.39$3.90Rent
Titan RTX24 GB$0.40$4.00Rent

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

How to run GritLM-7B

  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 vllm
vllm serve GritLM/GritLM-7B --host 0.0.0.0 --port 8000

Why run it yourself?

Your own LLM server has no per-token bill and no rate limit, and your data stays private. Pick a GPU by memory and serve the model with vLLM.

Questions

How much GPU memory does GritLM-7B need?
By our estimate about 19 GB for inference (7.2B parameters). Higher resolution, longer context or bigger batches need more.
How much does it cost to run GritLM-7B?
From $0.20 per hour on RTX 2080 Ti, 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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