How much GPU memory does clap-htsat-unfused need?

About 1.2 GB: 0.12 GB of weights and the runtime's own memory.

What is the cheapest GPU to run clap-htsat-unfused?

Right now one Quadro P4000 at $0.07 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 clap-htsat-unfused run on an RTX 4090?

Yes: it needs about 1.2 GB and an RTX 4090 has 24 GB.

Models / clap-htsat-unfused

Xenova/clap-htsat-unfused

Embeddings (features) · served with ONNX Runtime · ↓ 4.9K downloads a month · View on Hugging Face

Xenova/clap-htsat-unfused needs about 1.2 GB of GPU memory. It runs on one Quadro P4000 from $0.07/h right now; best value: RTX 5090 at $0.67/h.

Weights: 120 MB
GPU memory needed: about 1.2 GB
Memory · disk: 8 GB · 30 GB
Licence: not stated

Versions

Smaller versions (8-bit, 4-bit) need less GPU memory and answer a little less precisely.

full precisiononnx/audio_model.onnx120 MB · 1.2 GB GPU float16onnx/audio_model_fp16.onnx60 MB · 1.1 GB GPU 8-bitonnx/audio_model_quantized.onnx30 MB · 1.1 GB GPU full precisiononnx/model.onnx620 MB · 1.9 GB GPU float16onnx/model_fp16.onnx310 MB · 1.5 GB GPU 8-bitonnx/model_quantized.onnx160 MB · 1.2 GB GPU full precisiononnx/text_model.onnx500 MB · 1.8 GB GPU float16onnx/text_model_fp16.onnx250 MB · 1.4 GB GPU 8-bitonnx/text_model_quantized.onnx130 MB · 1.2 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 clap-htsat-unfused need?: About 1.2 GB: 0.12 GB of weights and the runtime's own memory.
What is the cheapest GPU to run clap-htsat-unfused?: Right now one Quadro P4000 at $0.07 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 clap-htsat-unfused run on an RTX 4090?: Yes: it needs about 1.2 GB and an RTX 4090 has 24 GB.

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