How much GPU memory does regardv3 need?

About 1.8 GB: 0.22 GB of weights and the runtime's own memory.

What is the cheapest GPU to run regardv3?

Right now one RTX 3060 at $0.09 an hour; RTX 5070 Ti at $0.19 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can regardv3 run on an RTX 4090?

Yes: it needs about 1.8 GB and an RTX 4090 has 24 GB.

How do I deploy regardv3 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, billed by the hour.

Models / regardv3

sasha/regardv3

Classification · served with vLLM · ↓ 12K downloads a month · View on Hugging Face

sasha/regardv3 needs about 1.8 GB of GPU memory. It runs on one RTX 3060 from $0.09/h right now; best value: RTX 5070 Ti at $0.19/h.

Weights: 220 MB
GPU memory needed: about 1.8 GB
Model allows: 512 tokens
Memory · disk: 8 GB · 41 GB
Architecture: BertForSequenceClassification
Licence: cc-by-4.0

Hardware and deploy

Endpoint name

$0.19/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 regardv3 need?: About 1.8 GB: 0.22 GB of weights and the runtime's own memory.
What is the cheapest GPU to run regardv3?: Right now one RTX 3060 at $0.09 an hour; RTX 5070 Ti at $0.19 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can regardv3 run on an RTX 4090?: Yes: it needs about 1.8 GB and an RTX 4090 has 24 GB.
How do I deploy regardv3 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, billed by the hour.

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