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Models / multilingual-e5-small
1 model (~118M) · ↓ 10M downloads a month · from $0.08/h on GTX 1660 SUPER right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalintfloat/multilingual-e5-small | Text Embeddings Inference | 240 MB | 1.8 GB | $0.08/h GTX 1660 SUPER |
| Main (Xenova)Xenova/multilingual-e5-small | ONNX Runtime | 120 MB | 1.2 GB | $0.08/h GTX 1660 SUPER |
| fra 32768 (alphaedge-ai)alphaedge-ai/multilingual-e5-small-fra-32768 | Text Embeddings Inference | 70 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| gety embed v0 (gety-ai)gety-ai/gety-embed-v0 | ONNX Runtime | 120 MB | 1.2 GB | $0.08/h GTX 1660 SUPER |
| french me5 small (antoinelouis)antoinelouis/french-me5-small | Text Embeddings Inference | 70 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| rus 32768 (alphaedge-ai)alphaedge-ai/multilingual-e5-small-rus-32768 | Text Embeddings Inference | 70 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| arb 32768 (alphaedge-ai)alphaedge-ai/multilingual-e5-small-arb-32768 | Text Embeddings Inference | 70 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| jp music title encoder (gbnam8)gbnam8/jp-music-title-encoder | Text Embeddings Inference | 80 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| Main (ferrisS)ferrisS/german-english-multilingual-e5-small | Text Embeddings Inference | 80 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| jpn 16384 (alphaedge-ai)alphaedge-ai/multilingual-e5-small-jpn-16384 | Text Embeddings Inference | 60 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| fas 16384 (alphaedge-ai)alphaedge-ai/multilingual-e5-small-fas-16384 | Text Embeddings Inference | 60 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
| embeddings productos ecommerce es (Mateo-Rua)Mateo-Rua/embeddings-productos-ecommerce-es | Text Embeddings Inference | 240 MB | 1.8 GB | $0.08/h GTX 1660 SUPER |
| Main (cnmoro)cnmoro/portuguese-multilingual-e5-small | Text Embeddings Inference | 80 MB | 1.6 GB | $0.08/h GTX 1660 SUPER |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").