Models / nli-bert-base-max-pooling

nli-bert-base-max-pooling by sentence-transformers

GPU memory needed (smallest version of each): nli-bert-base-max-pooling ~109M about 1.8 GB. The cheapest runs on RTX 3060 from $0.09/h right now.

1 model (~109M) · ↓ 146 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.

nli-bert-base-max-pooling ~109M

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalsentence-transformers/nli-bert-base-max-pooling	vLLM	220 MB	1.8 GB	$0.09/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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