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Models / multilingual-e5-large / multilingual-e5-large ~560M
Embeddings · served with Text Embeddings Inference · ↓ 900 downloads a month · View on Hugging Face
The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalintfloat/multilingual-e5-large | Text Embeddings Inference | 1.1 GB | 3 GB | $0.08/h RTX 3060 |
| Main (Xenova)Xenova/multilingual-e5-large | ONNX Runtime | 560 MB | 1.8 GB | $0.08/h GTX 1660 SUPER |
| nep 16384 (alphaedge-ai)alphaedge-ai/multilingual-e5-large-nep-16384 | Text Embeddings Inference | 640 MB | 2.3 GB | $0.08/h RTX 3060 |
| Main (denniscraandijk)denniscraandijk/dutch-english-multilingual-e5-large | Text Embeddings Inference | 700 MB | 2.4 GB | $0.08/h RTX 3060 |
Deploying embedding and reranking models (Text Embeddings Inference) is coming soon.
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.