Models / msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned

msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned by sentence-transformers

GPU memory needed (smallest version of each): msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned ~135M about 1.2 GB. The cheapest runs on GTX 1660 SUPER from $0.07/h right now.

1 model (~135M) · ↓ 2.8K downloads a month · from $0.07/h on GTX 1660 SUPER 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.

msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned ~135M

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalsentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned	ONNX Runtime	140 MB	1.2 GB	$0.07/h GTX 1660 SUPER

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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