Can I run it?
Can I run Qwen3 Coder 30B A3B Instruct on GeForce RTX 3080 10GB?
Tight fit
Tight fit fully on your GeForce RTX 3080 10GB at UD-IQ1_S, 1K context, about 428–584 tok/s. Weights 8.30 GB plus 0.09 GB of KV cache — 8.78 GB of 9.03 GB usable.
Best quantUD-IQ1_S
Working context1K
Max that fits1K
Speed428–584 tok/s
Weights8.30 GB
KV cache0.09 GB
Total8.78 GB
Usable9.03 GB
Qwen3 Coder 30B A3B Instruct details · GeForce RTX 3080 10GB page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ1_S -c 1024 -ngl 48
Ollama
ollama run qwen3
LM Studio
lms get unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF # Then load quant UD-IQ1_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-IQ1_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 1K context, not at the maximum context that still fits.
Larger models that also fit
No close alternative in the current catalog.
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.