Can I run EXAONE-3.5-7.8B-Instruct-AWQ on an RTX 5070 Ti?

Yes

Its published weights (5.30 GB) fit in the 14.4 GB an RTX 5070 Ti can use, with room for ≈ 32K tokens of context.

Full analysis of EXAONE-3.5-7.8B-Instruct-AWQ Everything that runs on RTX 5070 Ti Get the weights on Hugging Face

hf download LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct-AWQ

Files and context on RTX 5070 Ti

Each file of EXAONE-3.5-7.8B-Instruct-AWQ (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	5.30 GB	Fits	32K	32K
4-bit (estimate)	4.40 GB	Fits	32K	32K

EXAONE-3.5-7.8B-Instruct-AWQ on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5070 TiYes
RTX 5060 Ti 16 GBYes
RTX 3060 12 GBYes
RTX 4060Yes
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 5070 Ti

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Qwen2.5-1.5B-InstructQwen · 1.54B
Qwen3-4BQwen · 4.02B
Qwen3.5-4BQwen · 4.66B
gpt-oss-20bopenai · 20.9B

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.