Classification · served with ONNX Runtime · ↓ 18.9K downloads a month · View on Hugging Face
zgpu-ai/zlm-v1-iab-domain-classifier-edge needs about 1.2 GB of GPU memory. It runs on one Quadro P4000 from $0.07/h right now; best value: RTX 5070 Ti at $0.19/h.
Weights
150 MB
GPU memory needed
about 1.2 GB
Memory · disk
8 GB · 30 GB
Licence
apache-2.0
Hardware and deploy
Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.
Questions
How much GPU memory does zlm-v1-iab-domain-classifier-edge need?
About 1.2 GB: 0.15 GB of weights and the runtime's own memory.
What is the cheapest GPU to run zlm-v1-iab-domain-classifier-edge?
Right now one Quadro P4000 at $0.07 an hour; RTX 5070 Ti at $0.19 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can zlm-v1-iab-domain-classifier-edge run on an RTX 4090?
Yes: it needs about 1.2 GB and an RTX 4090 has 24 GB.
Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.