Written by Jakub Rusinowski · Last updated February 10, 2026
Yes — comfortably
Yes, comfortably — EXAONE 3.5 32B at Q8_0 needs about 36.9 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~91.1 GB spare and running at ~5.4 tok/s (estimated), with room for about 32,768 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~5.4 tok/s
| 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 | 66.9 GB | ✓ Yes | 32K | ~2.9 tok/s | 64 GB |
| Q8_0 | 36.9 GB | ✓ Yes | 32K | ~5.4 tok/s | 34 GB |
| Q6_K | 29.2 GB | ✓ Yes | 32K | ~6.9 tok/s | 26.2 GB |
| Q5_K_M | 25.6 GB | ✓ Yes | 32K | ~7.9 tok/s | 22.7 GB |
| Q4_K_M | 22.3 GB | ✓ Yes | 32K | ~9.2 tok/s | 19.3 GB |
| Q3_K_M | 16.6 GB | ✓ Yes | 32K | ~12.7 tok/s | 13.6 GB |
| Q2_K | 13.5 GB | ✓ Yes | 32K | ~16 tok/s | 10.5 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| EXAONE 3.5 32B | 22.3 GB | ✓ Fits | ~9.2 tok/s |
| EXAONE 3.5 7.8B | 6.6 GB | ✓ Fits | ~33.8 tok/s |
| EXAONE 3.5 2.4B | 2.9 GB | ✓ Fits | ~87.5 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes, comfortably — EXAONE 3.5 32B at Q8_0 needs about 36.9 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~91.1 GB spare and running at ~5.4 tok/s (estimated), with room for about 32,768 tokens of context.
Q8_0 — it needs about 36.9 GB of the 128 GB available, downloads as roughly 34 GB, and runs at an estimated 5.4 tokens/sec with up to 32K 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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