Text generation · served with ONNX Runtime GenAI · ↓ 27 downloads a month · View on Hugging Face
elbruno/Fara1.5-9B-onnx needs about 10.5 GB of GPU memory. It runs on one RTX 3060 from $0.09/h right now; best value: RTX 5070 Ti at $0.19/h.
Weights
6.9 GB
GPU memory needed
about 10.5 GB
Memory · disk
14.3 GB · 45 GB
Licence
mit
Hardware and deploy
Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.
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.
Questions
How much GPU memory does Fara1.5-9B-onnx need?
About 10.5 GB: 6.88 GB of weights and the runtime's own memory.
What is the cheapest GPU to run Fara1.5-9B-onnx?
Right now one RTX 3060 at $0.09 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 Fara1.5-9B-onnx run on an RTX 4090?
Yes: it needs about 10.5 GB and an RTX 4090 has 24 GB.