How much GPU memory does bilingual-embedding-base need?

About 2.7 GB: 1.11 GB of weights and the runtime's own memory.

What is the cheapest GPU to run bilingual-embedding-base?

Right now one GTX 1650 at $0.06 an hour; RTX 5090 at $0.67 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can bilingual-embedding-base run on an RTX 4090?

Yes: it needs about 2.7 GB and an RTX 4090 has 24 GB.

Models / bilingual-embedding

yco/bilingual-embedding-base

Embeddings · served with ONNX Runtime · ↓ 182 downloads a month · View on Hugging Face

yco/bilingual-embedding-base needs about 2.7 GB of GPU memory. It runs on one GTX 1650 from $0.06/h right now; best value: RTX 5090 at $0.67/h.

Weights: 1.1 GB
GPU memory needed: about 2.7 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.

full precisiononnx/model.onnx1.1 GB · 2.7 GB GPU full precisiononnx/model_O4.onnx560 MB · 1.8 GB GPU

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 bilingual-embedding-base need?: About 2.7 GB: 1.11 GB of weights and the runtime's own memory.
What is the cheapest GPU to run bilingual-embedding-base?: Right now one GTX 1650 at $0.06 an hour; RTX 5090 at $0.67 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can bilingual-embedding-base run on an RTX 4090?: Yes: it needs about 2.7 GB and an RTX 4090 has 24 GB.

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