Embeddings · served with ONNX Runtime · ↓ 4 downloads a month · View on Hugging Face
sentence-transformers/static-similarity-mrl-multilingual-v1 needs about 1.7 GB of GPU memory. It runs on one GTX 1070 from $0.06/h right now; best value: RTX 5090 at $0.71/h.
Weights
430 MB
GPU memory needed
about 1.7 GB
Memory · disk
8 GB · 30 GB
Licence
apache-2.0
Versions
Smaller versions (8-bit, 4-bit) need less GPU memory and answer a little less precisely.
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 static-similarity-mrl-multilingual-v1 need?
About 1.7 GB: 0.43 GB of weights and the runtime's own memory.
What is the cheapest GPU to run static-similarity-mrl-multilingual-v1?
Right now one GTX 1070 at $0.06 an hour; RTX 5090 at $0.71 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can static-similarity-mrl-multilingual-v1 run on an RTX 4090?
Yes: it needs about 1.7 GB and an RTX 4090 has 24 GB.
110 MB · 1.2 GB GPU
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.