Models / Trinity-Large

Trinity-Large by arcee-ai

GPU memory needed (smallest version of each): Trinity-Large ~399B about 890.3 GB. The cheapest runs on 8x Nvidia H200 from $43.49/h right now.

1 model (~399B) · ↓ 2.9K downloads a month · from $43.49/h on 8x Nvidia H200 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.

Trinity-Large ~399B

Version	Runtime	Weights	GPU memory	Cheapest machine now
Thinkingarcee-ai/Trinity-Large-Thinking	vLLM	797 GB	890.3 GB	$43.49/h 8x Nvidia H200
Previewarcee-ai/Trinity-Large-Preview	vLLM	797 GB	890.3 GB	$43.49/h 8x Nvidia H200

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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