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ModernBERT-base-nli-ONNX: GPU requirements and price to run | GridPup

Models / ModernBERT-base-nli

onnx-community/ModernBERT-base-nli-ONNX

Classification · served with ONNX Runtime · ↓ 86.9K downloads a month · View on Hugging Face

Weights: 600 MB
GPU memory needed: about 1.9 GB
Memory · disk: 8 GB · 30 GB
Licence: not stated

Versions

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

full precisiononnx/model.onnx600 MB · 1.9 GB GPU 4-bit (bnb)onnx/model_bnb4.onnx220 MB · 1.3 GB GPU float16onnx/model_fp16.onnx300 MB · 1.4 GB GPU 8-bitonnx/model_int8.onnx150 MB · 1.2 GB GPU 4-bitonnx/model_q4.onnx220 MB · 1.3 GB GPU 4-bit, float16onnx/model_q4f16.onnx140 MB · 1.2 GB GPU 8-bitonnx/model_quantized.onnx150 MB · 1.2 GB GPU 8-bitonnx/model_uint8.onnx150 MB · 1.2 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.