Can I run TeleOCR on an RTX 5080?

Yes

Its published weights (2.83 GB) fit in the 14.4 GB an RTX 5080 can use, with room for ≈ 99K tokens of context.

Full analysis of TeleOCR Everything that runs on RTX 5080 Get the weights on Hugging Face

hf download StarDoc-AI/TeleOCR

Files and context on RTX 5080

Each file of TeleOCR (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 5080	Context (16-bit)	Context (8-bit)
As published	2.83 GB	Fits	99K	125K
4-bit (estimate)	796 MB	Fits	116K	125K

TeleOCR on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 5080Yes
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 5080

Qwen3-0.6BQwen · 752M
gpt2openai-community · 137M
Qwen3-Coder-30B-A3B-Instruct-GGUFunsloth · 30.5B
Qwen2.5-0.5B-InstructQwen · 494M
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.