OPEN MODELS / AI image generation
Run SenseNova-U1.5-8B_GGUFs on a cloud GPU
SenseNova-U1.5-8B_GGUFs is a AI image generation model by realrebelai. 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
Our estimate is about 14 GB for inference with GGUF weights, including working memory. Real use depends on resolution, batch size and context length.
| GPU | Memory | Per hour | 10 hours | |
|---|---|---|---|---|
| Tesla V100 | 16 GB | $0.20 | $2.00 | Rent |
| RTX A4000 | 16 GB | $0.21 | $2.10 | Rent |
| RTX 2080 Ti | 22 GB | $0.24 | $2.40 | Rent |
| RTX 5060 Ti | 16 GB | $0.24 | $2.40 | Rent |
| Q RTX 5000 | 16 GB | $0.27 | $2.70 | Rent |
Live starting prices from our catalog. You pay per second while the machine runs.
How to run SenseNova-U1.5-8B_GGUFs
- 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 "huggingface_hub[cli]"
huggingface-cli download realrebelai/SenseNova-U1.5-8B_GGUFs --local-dir ./model --include "*Q4_K_M*"
# llama.cpp: ./llama-server -m ./model/*.gguf --host 0.0.0.0 --port 8000Why run it yourself?
With your own GPU there is no monthly plan and no per-image credit. Load any model or LoRA you want and generate in batches.
Questions
- How much GPU memory does SenseNova-U1.5-8B_GGUFs need?
- By our estimate about 14 GB for inference (18B parameters). Higher resolution, longer context or bigger batches need more.
- How much does it cost to run SenseNova-U1.5-8B_GGUFs?
- 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