Can I run it?
Can I run Qwen3 Coder Next on AMD Ryzen AI Max+ 395?
Tight fit
Tight fit fully in unified memory on your AMD Ryzen AI Max+ 395 at Q4_K_M, 8K context, about 6.8–9.3 tok/s. Weights 45.2 GB plus 0.75 GB of KV cache — 46.7 GB of 48.0 GB usable.
Best quantQ4_K_M
Working context8K
Max that fits8K
Speed6.8–9.3 tok/sEstimate from memory bandwidth, not a benchmark. Method.
Weights45.2 GB
KV cache0.75 GB
Total46.7 GB
Usable48.0 GB
Qwen3 Coder Next details · AMD Ryzen AI Max+ 395 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-Next-GGUF:Q4_K_M -c 8192 -ngl 48
Ollama
ollama run qwen3-coder-next
LM Studio
lms get unsloth/Qwen3-Coder-Next-GGUF # Then load quant Q4_K_M
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- 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%.
- Q4_K_M 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
No close alternative in the current catalog.
Updated 2026-10-24. Profile on this page is the device default.