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nomic-embed-vision-v1.5: GPU requirements and price to run | GridPup

Models / nomic-embed-vision

nomic-ai/nomic-embed-vision-v1.5

Image feature extraction · served with ONNX Runtime · ↓ 305.1K downloads a month · View on Hugging Face

Weights: 370 MB
GPU memory needed: about 1.6 GB
Memory · disk: 8 GB · 30 GB
Licence: apache-2.0

Versions

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

full precisiononnx/model.onnx370 MB · 1.6 GB GPU 4-bit (bnb)onnx/model_bnb4.onnx60 MB · 1.1 GB GPU float16onnx/model_fp16.onnx190 MB · 1.3 GB GPU 8-bitonnx/model_int8.onnx100 MB · 1.1 GB GPU 4-bitonnx/model_q4.onnx60 MB · 1.1 GB GPU 8-bitonnx/model_quantized.onnx100 MB · 1.1 GB GPU 8-bitonnx/model_uint8.onnx100 MB · 1.1 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.

Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.