Models / roberta-base-formality-ranker

roberta-base-formality-ranker by s-nlp

GPU memory needed (smallest version of each): roberta-base-formality-ranker ~125M about 1.8 GB. The cheapest runs on RTX 3060 from $0.09/h right now.

1 model (~125M) · ↓ 100.9K downloads a month · from $0.09/h on RTX 3060 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.

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").