How much GPU memory does whisper-large-v3-cantonese need?

About 5.7 GB: 3.09 GB of weights and the runtime's own memory.

What is the cheapest GPU to run whisper-large-v3-cantonese?

Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.69 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can whisper-large-v3-cantonese run on an RTX 4090?

Yes: it needs about 5.7 GB and an RTX 4090 has 24 GB.

How do I deploy whisper-large-v3-cantonese as an API?

Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's transcription API, billed by the hour.

Models / whisper-large-v3-cantonese

khleeloo/whisper-large-v3-cantonese

Speech to text · served with vLLM · ↓ 239 downloads a month · View on Hugging Face

khleeloo/whisper-large-v3-cantonese needs about 5.7 GB of GPU memory. It runs on one RTX 3060 from $0.09/h right now; best value: RTX 5090 at $0.69/h.

The model's publisher asks users to accept its licence (apache-2.0). You accept it when you deploy.

Weights: 3.1 GB
GPU memory needed: about 5.7 GB
Memory · disk: 8.6 GB · 44 GB
Architecture: WhisperForConditionalGeneration
Licence: apache-2.0

Hardware and deploy

Endpoint nameI accept the model's licence (apache-2.0) and its acceptable use policy.

$0.69/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.

Questions

How much GPU memory does whisper-large-v3-cantonese need?: About 5.7 GB: 3.09 GB of weights and the runtime's own memory.
What is the cheapest GPU to run whisper-large-v3-cantonese?: Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.69 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can whisper-large-v3-cantonese run on an RTX 4090?: Yes: it needs about 5.7 GB and an RTX 4090 has 24 GB.
How do I deploy whisper-large-v3-cantonese as an API?: Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's transcription API, billed by the hour.

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