Can I run bge-reranker-v2.5-gemma2-lightweight-gptq on an RTX 5070 Ti?

Yes

Its published weights (6.17 GB) fit in the 14.4 GB an RTX 5070 Ti can use, with room for ≈ 8K tokens of context.

Full analysis of bge-reranker-v2.5-gemma2-lightweight-gptq Everything that runs on RTX 5070 Ti Get the weights on Hugging Face

hf download boboliu/bge-reranker-v2.5-gemma2-lightweight-gptq

Files and context on RTX 5070 Ti

Each file of bge-reranker-v2.5-gemma2-lightweight-gptq (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX 5070 Ti	Context (16-bit)	Context (8-bit)
As published	6.17 GB	Fits	8K	8K
4-bit (estimate)	5.20 GB	Fits	8K	8K

bge-reranker-v2.5-gemma2-lightweight-gptq on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5070 TiYes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Probably, at 4-bit
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

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Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.