How much GPU memory does pplx-embed-context-v1-0.6b need?

About 4.6 GB: 2.4 GB of weights and the runtime's own memory.

What is the cheapest GPU to run pplx-embed-context-v1-0.6b?

Right now one GTX 1660 SUPER at $0.08 an hour; RTX 5090 at $0.51 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can pplx-embed-context-v1-0.6b run on an RTX 4090?

Yes: it needs about 4.6 GB and an RTX 4090 has 24 GB.

Models / pplx-embed-context-v1

perplexity-ai/pplx-embed-context-v1-0.6b

Embeddings (features) · served with ONNX Runtime · ↓ 9.1K downloads a month · View on Hugging Face

perplexity-ai/pplx-embed-context-v1-0.6b needs about 4.6 GB of GPU memory. It runs on one GTX 1660 SUPER from $0.08/h right now; best value: RTX 5090 at $0.51/h.

Weights: 2.4 GB
GPU memory needed: about 4.6 GB
Memory · disk: 8.8 GB · 30 GB
Licence: mit

Versions

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

full precisiononnx/model.onnx2.4 GB · 4.6 GB GPU 4-bitonnx/model_q4.onnx400 MB · 1.6 GB GPU 8-bitonnx/model_quantized.onnx710 MB · 2.1 GB GPU

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 pplx-embed-context-v1-0.6b need?: About 4.6 GB: 2.4 GB of weights and the runtime's own memory.
What is the cheapest GPU to run pplx-embed-context-v1-0.6b?: Right now one GTX 1660 SUPER at $0.08 an hour; RTX 5090 at $0.51 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can pplx-embed-context-v1-0.6b run on an RTX 4090?: Yes: it needs about 4.6 GB and an RTX 4090 has 24 GB.

Loading…