Can I run it?
Can I run Qwen3.5 35B A3B on AMD Ryzen AI Max+ 395?
Tight fit
Tight fit fully in unified memory on your AMD Ryzen AI Max+ 395 at UD-Q8_K_XL, 8K context, about 32–44 tok/s. Weights 45.3 GB plus 0.19 GB of KV cache — 46.3 GB of 48.0 GB usable. Up to 32K context still fits.
Best quantUD-Q8_K_XL
Working context8K
Max that fits32K
Speed32–44 tok/s
Weights45.3 GB
KV cache0.19 GB
Total46.3 GB
Usable48.0 GB
Qwen3.5 35B A3B details · AMD Ryzen AI Max+ 395 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF:UD-Q8_K_XL -c 8192 -ngl 40
Ollama
ollama run qwen3.5
LM Studio
lms get unsloth/Qwen3.5-35B-A3B-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 Qwen3.6 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
- Can I run Cyber Tiel Coder 35B A3B GGUF MTP 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.