How much GPU memory does uibk-embedding-v1 need?

About 1.9 GB: 0.34 GB of weights and the runtime's own memory.

What is the cheapest GPU to run uibk-embedding-v1?

Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.62 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can uibk-embedding-v1 run on an RTX 4090?

Yes: it needs about 1.9 GB and an RTX 4090 has 24 GB.

How do I deploy uibk-embedding-v1 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 embeddings API, billed by the hour.

Models / uibk-embedding / uibk-embedding ~149M

DataScience-UIBK/uibk-embedding-v1

Embeddings · served with vLLM · ↓ 1.1K downloads a month · View on Hugging Face

DataScience-UIBK/uibk-embedding-v1 needs about 1.9 GB of GPU memory. It runs on one RTX 3060 from $0.09/h right now; best value: RTX 5090 at $0.62/h.

Weights: 340 MB
GPU memory needed: about 1.9 GB
Model allows: 8,192 tokens
Memory · disk: 8 GB · 41 GB
Architecture: ModernBertModel
Licence: apache-2.0

Versions of uibk-embedding ~149M

The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.

Version	Runtime	Weights	GPU memory	Cheapest machine now
OriginalDataScience-UIBK/uibk-embedding-v1	vLLM	340 MB	1.9 GB	$0.09/h RTX 3060
Agent uibk v1DataScience-UIBK/Agent-uibk-v1	vLLM	340 MB	1.9 GB	$0.09/h RTX 3060

Hardware and deploy

Endpoint name

$0.62/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 uibk-embedding-v1 need?: About 1.9 GB: 0.34 GB of weights and the runtime's own memory.
What is the cheapest GPU to run uibk-embedding-v1?: Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.62 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can uibk-embedding-v1 run on an RTX 4090?: Yes: it needs about 1.9 GB and an RTX 4090 has 24 GB.
How do I deploy uibk-embedding-v1 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 embeddings API, billed by the hour.

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DataScience-UIBK/uibk-embedding-v1

Embeddings · served with vLLM · ↓ 1.1K downloads a month · View on Hugging Face

DataScience-UIBK/uibk-embedding-v1 needs about 1.9 GB of GPU memory. It runs on one RTX 3060 from $0.09/h right now; best value: RTX 5090 at $0.62/h.

Weights

340 MB

GPU memory needed

about 1.9 GB

Model allows

8,192 tokens

Memory · disk

8 GB · 41 GB

Architecture

ModernBertModel

Licence

apache-2.0

Versions of uibk-embedding ~149M

The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.

Version	Runtime	Weights	GPU memory	Cheapest machine now
OriginalDataScience-UIBK/uibk-embedding-v1	vLLM	340 MB	1.9 GB	$0.09/h RTX 3060
Agent uibk v1DataScience-UIBK/Agent-uibk-v1	vLLM	340 MB	1.9 GB	$0.09/h RTX 3060

Hardware and deploy

Endpoint name

Questions

How much GPU memory does uibk-embedding-v1 need?: About 1.9 GB: 0.34 GB of weights and the runtime's own memory.
What is the cheapest GPU to run uibk-embedding-v1?: Right now one RTX 3060 at $0.09 an hour; RTX 5090 at $0.62 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can uibk-embedding-v1 run on an RTX 4090?: Yes: it needs about 1.9 GB and an RTX 4090 has 24 GB.
How do I deploy uibk-embedding-v1 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 embeddings API, billed by the hour.