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Models / LaBSE
1 model (~471M) · ↓ 699K 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 |
|---|---|---|---|---|
| Originalsentence-transformers/LaBSE | Text Embeddings Inference | 940 MB | 2.7 GB | $0.08/h GTX 1660 SUPER |
| M2V multilingual output (minishlab)minishlab/M2V_multilingual_output | ONNX Runtime | 510 MB | 1.8 GB | $0.08/h GTX 1660 SUPER |
| Main (Xenova)Xenova/LaBSE | ONNX Runtime | 470 MB | 1.7 GB | $0.08/h GTX 1660 SUPER |
| morisien embed v1.5 (Singaraj)Singaraj/morisien-embed-v1.5 | Text Embeddings Inference | 940 MB | 2.7 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").