Can I run it?

Can I run Qwen3.6 27B on GeForce RTX 3090?

Tight fit

Tight fit fully on your GeForce RTX 3090 at Q6_K, 4K context, about 23–31 tok/s. Weights 21.0 GB plus 0.32 GB of KV cache — 21.8 GB of 22.3 GB usable.

Qwen3.6 27B details · GeForce RTX 3090 page · How this estimate is made

Run commands

llama-server -hf unsloth/Qwen3.6-27B-GGUF:Q6_K -c 4096 -ngl 64

ollama run qwen3.6

lms get unsloth/Qwen3.6-27B-GGUF
# Then load quant Q6_K

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%.
• Q6_K 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 4K context, not at the maximum context that still fits.

Larger models that also fit

• Can I run Qwen3.8 27B on GeForce RTX 3090? — Tight fit, UD-Q6_K, 23–31 tok/s
• Can I run Qwen3.6 35B A3B on GeForce RTX 3090? — Tight fit, UD-Q4_K_XL, 245–334 tok/s
• Can I run Qwen3.8 35B A3B Distill on GeForce RTX 3090? — Tight fit, Q4_K_M, 257–351 tok/s

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