How much GPU memory does teapotllm need?

About 3.9 GB: 1.9 GB of weights and the runtime's own memory.

What is the cheapest GPU to run teapotllm?

Right now one GTX 1660 SUPER at $0.07 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 teapotllm run on an RTX 4090?

Yes: it needs about 3.9 GB and an RTX 4090 has 24 GB.

Models / flan-t5-large

teapotai/teapotllm

Text generation · served with ONNX Runtime · ↓ 264 downloads a month · View on Hugging Face

teapotai/teapotllm needs about 3.9 GB of GPU memory. It runs on one GTX 1660 SUPER from $0.07/h right now; best value: RTX 5090 at $0.62/h.

These ONNX files are an export for running in a browser: GridPup serves them as tensors in and out, not as a chat. For chat, pick the same model in its original form (served with vLLM).

Weights: 1.9 GB
GPU memory needed: about 3.9 GB
Memory · disk: 8 GB · 30 GB
Licence: mit

Versions

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

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 teapotllm need?: About 3.9 GB: 1.9 GB of weights and the runtime's own memory.
What is the cheapest GPU to run teapotllm?: Right now one GTX 1660 SUPER at $0.07 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 teapotllm run on an RTX 4090?: Yes: it needs about 3.9 GB and an RTX 4090 has 24 GB.

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