Models / Ling-mini-base-2.0-20T

Ling-mini-base-2.0-20T by inclusionAI

GPU memory needed (smallest version of each): Ling-mini-base-2.0-20T ~16.3B about 38.7 GB. The cheapest runs on 4x RTX 3060 from $0.42/h right now.

1 model (~16.3B) · ↓ 632 downloads a month · from $0.42/h on 4x 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.

Ling-mini-base-2.0-20T ~16.3B

Version	Runtime	Weights	GPU memory	Cheapest machine now
Ring mini 2.0inclusionAI/Ring-mini-2.0	vLLM	33 GB	38.7 GB	$0.42/h 4x 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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