Models / dfm-sentence-encoder-large-exp2-no-lang-align

dfm-sentence-encoder-large-exp2-no-lang-align by KennethEnevoldsen

GPU memory needed (smallest version of each): dfm-sentence-encoder-large-exp2-no-lang-align about 2.4 GB. The cheapest runs on RTX 3060 from $0.08/h right now.

1 model · ↓ 253 downloads a month · from $0.08/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.

dfm-sentence-encoder-large-exp2-no-lang-align

Version	Runtime	Weights	GPU memory	Cheapest machine now
OriginalKennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align	vLLM	710 MB	2.4 GB	$0.08/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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