Can I run it?
Can I run Qwen3.6 27B on Radeon RX 7900 XTX?
Tight fit
Tight fit fully on your Radeon RX 7900 XTX at Q6_K, 4K context, about 23–32 tok/s. Weights 21.0 GB plus 0.32 GB of KV cache — 21.8 GB of 22.3 GB usable.
Best quantQ6_K
Working context4K
Max that fits4K
Speed23–32 tok/s
Weights21.0 GB
KV cache0.32 GB
Total21.8 GB
Usable22.3 GB
Qwen3.6 27B details · Radeon RX 7900 XTX page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3.6-27B-GGUF:Q6_K -c 4096 -ngl 64
Ollama
ollama run qwen3.6
LM Studio
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 Radeon RX 7900 XTX? — Tight fit, UD-Q6_K, 23–32 tok/s
- Can I run Qwen3.6 35B A3B on Radeon RX 7900 XTX? — Tight fit, UD-Q4_K_XL, 251–342 tok/s
- Can I run Qwen3.8 35B A3B Distill on Radeon RX 7900 XTX? — Tight fit, Q4_K_M, 264–360 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.