Can I Run Qwen3-Coder on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?

Written by Jakub Rusinowski · Last updated July 8, 2026

Yes — comfortably

Yes, comfortably — Qwen3-Coder 80B-A3B (MoE) at Q8_0 needs about 88.3 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~39.7 GB spare and running at ~39.5 tok/s (estimated), with room for about 65,536 tokens of context.

Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~39.5 tok/s

Framework Desktop (Ryzen AI Max+ 395, 128 GB) — what it gives a model

Usable memory for models128 GB
Memory bandwidth256 GB/s
Form factorMini PC
Operating systemWindows or Linux
Memory upgradeableNo — soldered

Qwen3-Coder on Framework Desktop (Ryzen AI Max+ 395, 128 GB): memory by quantization

QuantMemory neededFits 128 GB?Max contextEst. speedDownload
F16163.3 GB✗ No160 GB
Q8_088.3 GB✓ Yes64K~39.5 tok/s85 GB
Q6_K68.9 GB✓ Yes64K~46.5 tok/s65.6 GB
Q5_K_M60 GB✓ Yes64K~50.5 tok/s56.7 GB
Q4_K_M51.6 GB✓ Yes64K~55.1 tok/s48.3 GB
Q3_K_M37.4 GB✓ Yes64K~65.1 tok/s34.1 GB
Q2_K29.6 GB✓ Yes64K~72.2 tok/s26.3 GB

Which Qwen3-Coder sizes fit

VariantNeeds at Q4_K_MFits?Est. speed
Qwen3-Coder 480B-A35B (MoE)291.6 GB✗ Too large
Qwen3-Coder 80B-A3B (MoE)51.6 GB✓ Fits~55.1 tok/s
Qwen3-Coder 8B6.8 GB✓ Fits~32.9 tok/s

What to watch out for

Framework Desktop 128 GB limitations

Recommended setup

Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving

How these numbers are calculated

FAQ

Can I run Qwen3-Coder on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?

Yes, comfortably — Qwen3-Coder 80B-A3B (MoE) at Q8_0 needs about 88.3 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~39.7 GB spare and running at ~39.5 tok/s (estimated), with room for about 65,536 tokens of context.

Which quantization of Qwen3-Coder should I use on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?

Q8_0 — it needs about 88.3 GB of the 128 GB available, downloads as roughly 85 GB, and runs at an estimated 39.5 tokens/sec with up to 64K of context.

What limits Qwen3-Coder on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?

Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.

Which runtime should I use?

Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving

Other Computers

Other Models on Framework Desktop (Ryzen AI Max+ 395, 128 GB)

Qwen3-Coder on GPUs

What This Model Is Good At

Model & Tools

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