Loading…
Loading…
Models / twitter-roberta-base-sentiment-latest
1 model · ↓ 2.5M 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 |
|---|---|---|---|---|
| Originalcardiffnlp/twitter-roberta-base-sentiment-latest | vLLM | 250 MB | 1.8 GB | $0.09/h RTX 3060 |
| Main (Xenova)Xenova/twitter-roberta-base-sentiment-latest | ONNX Runtime | 130 MB | 1.2 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").