How much GPU memory does Paraformer-large need?

About 1.4 GB: 0.24 GB of weights and the runtime's own memory.

What is the cheapest GPU to run Paraformer-large?

Right now one Quadro P4000 at $0.07 an hour; RTX 5090 at $0.65 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can Paraformer-large run on an RTX 4090?

Yes: it needs about 1.4 GB and an RTX 4090 has 24 GB.

Models / Paraformer-large

funasr/Paraformer-large

Speech to text · served with ONNX Runtime · ↓ 182 downloads a month · View on Hugging Face

funasr/Paraformer-large needs about 1.4 GB of GPU memory. It runs on one Quadro P4000 from $0.07/h right now; best value: RTX 5090 at $0.65/h.

These ONNX files are an export for running in a browser (an audio encoder and a text decoder, each a version here): served as tensors, they do not make a transcript. For speech to text, pick the original model (for example openai/whisper-base), served with vLLM.

Weights: 240 MB
GPU memory needed: about 1.4 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 Paraformer-large need?: About 1.4 GB: 0.24 GB of weights and the runtime's own memory.
What is the cheapest GPU to run Paraformer-large?: Right now one Quadro P4000 at $0.07 an hour; RTX 5090 at $0.65 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can Paraformer-large run on an RTX 4090?: Yes: it needs about 1.4 GB and an RTX 4090 has 24 GB.

Loading…