Can I run it?
Can I run Qwen3.6 27B on AMD Ryzen AI Max+ 395?
Runs
Runs fully in unified memory on your AMD Ryzen AI Max+ 395 at UD-Q8_K_XL, 8K context, about 3.9–5.4 tok/s. Weights 32.9 GB plus 0.57 GB of KV cache — 34.1 GB of 48.0 GB usable. Up to 200K context still fits.
Best quantUD-Q8_K_XL
Working context8K
Max that fits200K
Speed3.9–5.4 tok/s
Weights32.9 GB
KV cache0.57 GB
Total34.1 GB
Usable48.0 GB
Qwen3.6 27B details · AMD Ryzen AI Max+ 395 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3.6-27B-GGUF:UD-Q8_K_XL -c 8192 -ngl 64
Ollama
ollama run qwen3.6
LM Studio
lms get unsloth/Qwen3.6-27B-GGUF # Then load quant UD-Q8_K_XL
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-Q8_K_XL size is the real GGUF file size from Hugging Face.
- Unified memory uses 75% for the GPU by default, and always leaves about 5 GB for the OS.
- Speed is quoted at 8K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on AMD Ryzen AI Max+ 395? — Runs great, UD-Q8_K_L, 4.9–6.7 tok/s
- Can I run Qwen3.6 35B A3B on AMD Ryzen AI Max+ 395? — Runs, UD-Q8_K_XL, 40–55 tok/s
- Can I run Qwen3.8 35B A3B Distill on AMD Ryzen AI Max+ 395? — Runs, Q8_0, 42–57 tok/s
Updated 2026-10-24. Profile on this page is the device default.