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jina-clip-v1: GPU requirements and price to run | GridPup

Models / jina-clip

jinaai/jina-clip-v1

Embeddings (features) · served with ONNX Runtime · ↓ 119.1K downloads a month · View on Hugging Face

Weights: 550 MB
GPU memory needed: about 1.8 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/text_model.onnx550 MB · 1.8 GB GPU 4-bit (bnb)onnx/text_model_bnb4.onnx160 MB · 1.2 GB GPU float16onnx/text_model_fp16.onnx270 MB · 1.4 GB GPU 8-bitonnx/text_model_int8.onnx140 MB · 1.2 GB GPU 4-bitonnx/text_model_q4.onnx170 MB · 1.2 GB GPU 8-bitonnx/text_model_quantized.onnx140 MB · 1.2 GB GPU 8-bitonnx/text_model_uint8.onnx140 MB · 1.2 GB GPU full precisiononnx/vision_model.onnx340 MB · 1.5 GB GPU 4-bit (bnb)onnx/vision_model_bnb4.onnx50 MB · 1.1 GB GPU float16onnx/vision_model_fp16.onnx170 MB · 1.3 GB GPU 8-bitonnx/vision_model_int8.onnx90 MB · 1.1 GB GPU 4-bitonnx/vision_model_q4.onnx60 MB · 1.1 GB GPU 8-bitonnx/vision_model_quantized.onnx90 MB · 1.1 GB GPU 8-bitonnx/vision_model_uint8.onnx90 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.