Models / xlm-r-100langs-bert-base-nli-stsb-mean-tokens

xlm-r-100langs-bert-base-nli-stsb-mean-tokens by sentence-transformers

GPU memory needed (smallest version of each): xlm-r-100langs-bert-base-nli-stsb-mean-tokens ~278M about 2.2 GB. The cheapest runs on RTX 3060 from $0.09/h right now.

1 model (~278M) · ↓ 1.7K 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.

xlm-r-100langs-bert-base-nli-stsb-mean-tokens ~278M

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalsentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens	vLLM	560 MB	2.2 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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