Can I run Air-26B-A4B-gguf on an RTX 4080?

Yes, just

Its Air-26B-A4B file (13.5 GB) fits in the 14.4 GB an RTX 4080 can use, with room for ≈ 6K tokens of context.

Full analysis of Air-26B-A4B-gguf Everything that runs on RTX 4080 Get the Air-26B-A4B file on Hugging Face

ollama run hf.co/webAI-Official/Air-26B-A4B-gguf

Files and context on RTX 4080

Each file of Air-26B-A4B-gguf (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 4080	Context (16-bit)	Context (8-bit)
Air-26B-A4B	13.5 GB	Tight	6K	17K

Air-26B-A4B-gguf on other hardware

NVIDIA H100Yes
RTX 5090Yes
RTX 4090Yes
RTX 3090Yes
RTX 4080Yes, just
RTX 5060 Ti 16 GBYes, just
RTX 3060 12 GBNo
RTX 4060No
Mac with 32 GBYes
Mac with 64 GBYes
Mac with 128 GBYes

Popular models that run on RTX 4080

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.