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Models / gbert-large-2
GPU memory needed (smallest version of each): gbert-large-2 ~335M about 3 GB. The cheapest runs on GTX 1650 from $0.06/h right now.
1 model (~335M) · ↓ 917 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 |
|---|---|---|---|---|
| German Semantic V3aari1995/German_Semantic_V3 | ONNX Runtime | 1.3 GB | 3 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").