Models / MNLP_M2_document_encoder

MNLP_M2_document_encoder by cristiano-sartori

GPU memory needed (smallest version of each): MNLP_M2_document_encoder ~109M about 1.2 GB. The cheapest runs on GTX 1070 from $0.07/h right now.

1 model (~109M) · ↓ 153 downloads a month · from $0.07/h on GTX 1070 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.

MNLP_M2_document_encoder ~109M

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalcristiano-sartori/MNLP_M2_document_encoder	ONNX Runtime	110 MB	1.2 GB	$0.07/h GTX 1070

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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