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Models / nq-distilbert
GPU memory needed (smallest version of each): nq-distilbert ~66M about 1.1 GB. The cheapest runs on GTX 1650 from $0.06/h right now.
1 model (~66M) · ↓ 591 downloads a month · from $0.06/h on GTX 1650 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/nq-distilbert-base-v1 | ONNX Runtime | 70 MB | 1.1 GB | $0.06/h GTX 1650 |
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").