Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Yes — comfortably
Yes, comfortably — Laguna XS 2.1 33B-A3B at Q8_0 needs about 37.7 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~90.3 GB spare and running at ~42.3 tok/s (estimated), with room for about 262,144 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~42.3 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 | 68.6 GB | ✓ Yes | 256K | ~26.1 tok/s | 66 GB |
| Q8_0 | 37.7 GB | ✓ Yes | 256K | ~42.3 tok/s | 35.1 GB |
| Q6_K | 29.7 GB | ✓ Yes | 256K | ~50.3 tok/s | 27.1 GB |
| Q5_K_M | 26 GB | ✓ Yes | 256K | ~55.2 tok/s | 23.4 GB |
| Q4_K_M | 22.6 GB | ✓ Yes | 256K | ~60.7 tok/s | 19.9 GB |
| Q3_K_M | 16.7 GB | ✓ Yes | 256K | ~72.9 tok/s | 14.1 GB |
| Q2_K | 13.5 GB | ✓ Yes | 256K | ~82 tok/s | 10.8 GB |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes, comfortably — Laguna XS 2.1 33B-A3B at Q8_0 needs about 37.7 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~90.3 GB spare and running at ~42.3 tok/s (estimated), with room for about 262,144 tokens of context.
Q8_0 — it needs about 37.7 GB of the 128 GB available, downloads as roughly 35.1 GB, and runs at an estimated 42.3 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
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