How much GPU memory does mpnet-base-nli-matryoshka need?

About 1.7 GB: 0.44 GB of weights and the runtime's own memory.

What is the cheapest GPU to run mpnet-base-nli-matryoshka?

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 mpnet-base-nli-matryoshka run on an RTX 4090?

Yes: it needs about 1.7 GB and an RTX 4090 has 24 GB.

Models / mpnet-base-nli-matryoshka

tomaarsen/mpnet-base-nli-matryoshka

Embeddings · served with ONNX Runtime · ↓ 1.6K downloads a month · View on Hugging Face

tomaarsen/mpnet-base-nli-matryoshka needs about 1.7 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: 440 MB
GPU memory needed: about 1.7 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/model.onnx440 MB · 1.7 GB GPU full precisiononnx/model_O1.onnx440 MB · 1.7 GB GPU full precisiononnx/model_O2.onnx440 MB · 1.7 GB GPU full precisiononnx/model_O3.onnx440 MB · 1.7 GB GPU full precisiononnx/model_O4.onnx220 MB · 1.3 GB GPU 8-bitonnx/model_qint8_arm64.onnx110 MB · 1.2 GB GPU 8-bitonnx/model_qint8_avx512.onnx110 MB · 1.2 GB GPU 8-bitonnx/model_qint8_avx512_vnni.onnx110 MB · 1.2 GB GPU 8-bitonnx/model_quint8_avx2.onnx

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 mpnet-base-nli-matryoshka need?: About 1.7 GB: 0.44 GB of weights and the runtime's own memory.
What is the cheapest GPU to run mpnet-base-nli-matryoshka?: 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 mpnet-base-nli-matryoshka run on an RTX 4090?: Yes: it needs about 1.7 GB and an RTX 4090 has 24 GB.

Loading…