Models / bert-large-nli-stsb-mean-tokens

bert-large-nli-stsb-mean-tokens by sentence-transformers

GPU memory needed (smallest version of each): bert-large-nli-stsb-mean-tokens ~335M about 2.3 GB. The cheapest runs on RTX 3060 from $0.10/h right now.

1 model (~335M) · ↓ 2.1K downloads a month · from $0.10/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.

bert-large-nli-stsb-mean-tokens ~335M

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalsentence-transformers/bert-large-nli-stsb-mean-tokens	vLLM	670 MB	2.3 GB	$0.10/h RTX 3060

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").

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