Models / roberta-large-nli-mean-tokens

roberta-large-nli-mean-tokens by sentence-transformers

GPU memory needed (smallest version of each): roberta-large-nli-mean-tokens ~355M about 2.4 GB. The cheapest runs on RTX 3060 from $0.09/h right now.

1 model (~355M) · ↓ 779 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").