Can I run it?

Can I run Qwen3.8 27B on GeForce RTX 3080 10GB?

Tight fit

Tight fit fully on your GeForce RTX 3080 10GB at UD-IQ2_S, 8K context, about 47–64 tok/s. Weights 7.80 GB plus 0.57 GB of KV cache — 8.75 GB of 9.03 GB usable.

Best quantUD-IQ2_S

Working context8K

Max that fits8K

Speed47–64 tok/s

Weights7.80 GB

KV cache0.57 GB

Total8.75 GB

Usable9.03 GB

Qwen3.8 27B details · GeForce RTX 3080 10GB page · How this estimate is made

Run commands

llama.cpp

llama-server -hf unsloth/Qwen3.8-27B-GGUF:UD-IQ2_S -c 8192 -ngl 64

Ollama

ollama run qwen3.8

LM Studio

lms get unsloth/Qwen3.8-27B-GGUF
# Then load quant UD-IQ2_S

Assumptions

Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
UD-IQ2_S size is the real GGUF file size from Hugging Face.
0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
Speed is quoted at 8K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3 32B on GeForce RTX 3080 10GB? — Tight fit, UD-IQ1_S, 47–65 tok/s
Can I run Qwen3 VL 32B Instruct on GeForce RTX 3080 10GB? — Tight fit, UD-IQ1_S, 47–65 tok/s
Can I run GLM 4 32B 0414 on GeForce RTX 3080 10GB? — Tight fit, UD-IQ1_M, 48–65 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.