How much GPU memory does gte-Qwen1.5-7B-instruct need?

About 20 GB: 15.44 GB of weights and the runtime's own memory.

What is the cheapest GPU to run gte-Qwen1.5-7B-instruct?

Right now one RTX 3080 at $0.17 an hour; RTX PRO 5000 at $0.46 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can gte-Qwen1.5-7B-instruct run on an RTX 4090?

Yes: it needs about 20 GB and an RTX 4090 has 24 GB.

How do I deploy gte-Qwen1.5-7B-instruct 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 / gte-Qwen1.5

Alibaba-NLP/gte-Qwen1.5-7B-instruct

Embeddings · served with vLLM · ↓ 257 downloads a month · View on Hugging Face

Alibaba-NLP/gte-Qwen1.5-7B-instruct needs about 20 GB of GPU memory. It runs on one RTX 3080 from $0.17/h right now; best value: RTX PRO 5000 at $0.46/h.

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

Weights: 15 GB
GPU memory needed: about 20 GB
Memory · disk: 27.2 GB · 57 GB
Architecture: Qwen2ForCausalLM
Licence: apache-2.0

Hardware and deploy

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

$0.46/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 gte-Qwen1.5-7B-instruct need?: About 20 GB: 15.44 GB of weights and the runtime's own memory.
What is the cheapest GPU to run gte-Qwen1.5-7B-instruct?: Right now one RTX 3080 at $0.17 an hour; RTX PRO 5000 at $0.46 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can gte-Qwen1.5-7B-instruct run on an RTX 4090?: Yes: it needs about 20 GB and an RTX 4090 has 24 GB.
How do I deploy gte-Qwen1.5-7B-instruct 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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