Written by Jakub Rusinowski · Last updated September 6, 2026
Yes — comfortably
Yes, comfortably — Qwen3.8 27B at Q8_0 needs about 32.1 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~95.9 GB spare and running at ~6.2 tok/s (estimated), with room for about 262,144 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~6.2 tok/s
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| Usable memory for models | 128 GB |
| Memory bandwidth | 256 GB/s |
| Form factor | Mini PC |
| Operating system | Windows or Linux |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 128 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 58.1 GB | ✓ Yes | 256K | ~3.4 tok/s | 55.6 GB |
| Q8_0 | 32.1 GB | ✓ Yes | 256K | ~6.2 tok/s | 29.5 GB |
| Q6_K | 25.3 GB | ✓ Yes | 256K | ~8 tok/s | 22.8 GB |
| Q5_K_M | 22.2 GB | ✓ Yes | 256K | ~9.1 tok/s | 19.7 GB |
| Q4_K_M | 19.3 GB | ✓ Yes | 256K | ~10.6 tok/s | 16.8 GB |
| Q3_K_M | 14.4 GB | ✓ Yes | 256K | ~14.6 tok/s | 11.8 GB |
| Q2_K | 11.7 GB | ✓ Yes | 256K | ~18.4 tok/s | 9.1 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Qwen3.8-Max | 1457.5 GB | ✗ Too large | — |
| Qwen3.8 27B | 19.3 GB | ✓ Fits | ~10.6 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes, comfortably — Qwen3.8 27B at Q8_0 needs about 32.1 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~95.9 GB spare and running at ~6.2 tok/s (estimated), with room for about 262,144 tokens of context.
Q8_0 — it needs about 32.1 GB of the 128 GB available, downloads as roughly 29.5 GB, and runs at an estimated 6.2 tokens/sec with up to 256K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving