Can I Run MiniMax M3 on 128 GB system RAM?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 25 października 2026
No
No — MiniMax M3 does not fit in 128 GB system RAM. Even at Q2_K it needs about 145.9 GB against 102.4 GB usable, a shortfall of roughly 43.5 GB.
Confidence: medium
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128 GB system RAM — what it gives a model
| Usable memory for models | 102.4 GB |
| Memory bandwidth | 90 GB/s |
MiniMax M3 on 128 GB system RAM: memory by quantization
| Quant | Memory needed | Fits 102.4 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 861.2 GB | ✗ No | — | — | 856 GB |
| Q8_0 | 459.9 GB | ✗ No | — | — | 454.8 GB |
| Q6_K | 356.1 GB | ✗ No | — | — | 351 GB |
| Q5_K_M | 308.5 GB | ✗ No | — | — | 303.3 GB |
| Q4_K_M | 263.6 GB | ✗ No | — | — | 258.4 GB |
| Q3_K_M | 187.6 GB | ✗ No | — | — | 182.4 GB |
| Q2_K | 145.9 GB | ✗ No | — | — | 140.7 GB |
Which MiniMax M3 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| MiniMax M3 428B-A23B | 263.6 GB | ✗ Too large | — |
| MiniMax M3.1 Flash 428B-A23B | 263.6 GB | ✗ Too large | — |
What to watch out for
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- These figures assume CPU-only inference. Any discrete GPU, even an 8 GB one, will be several times faster for models that fit in its VRAM.
Recommended setup
llama.cpp (CPU build) or Ollama — both run without a GPU
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 102.4 GB of the 128 GB is treated as usable for model weights (80% — the rest is the OS and running applications).
- DDR5-5600 dual channel at 89.6 GB/s peak. CPU decode is assumed to sustain 35% of that peak, because CPU inference is not purely bandwidth-bound — it also spends real time in compute and thread synchronisation. This figure is an assumption, not a fitted constant: no CPU measurement is in the calibration set.
- CPU-only inference: no GPU is assumed. A GPU of any size will beat these figures substantially.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run MiniMax M3 on 128 GB system RAM?
No — MiniMax M3 does not fit in 128 GB system RAM. Even at Q2_K it needs about 145.9 GB against 102.4 GB usable, a shortfall of roughly 43.5 GB.
What limits MiniMax M3 on 128 GB system RAM?
Memory. 128 GB system RAM provides about 102.4 GB usable, and the smallest quantization of this model needs 145.9 GB.
Which runtime should I use?
llama.cpp (CPU build) or Ollama — both run without a GPU
Other RAM Capacities
Other Models on 128 GB system RAM
- Ministral on 128 GB system RAM
- Ministral 3 on 128 GB system RAM
- Mistral Family on 128 GB system RAM
- Mistral Small 3.1 on 128 GB system RAM
- Mistral Small 3.2 on 128 GB system RAM
MiniMax M3 on GPUs
- MiniMax M3 on Apple M4 Max
- MiniMax M3 on Apple M3 Max
- MiniMax M3 on Apple M2 Ultra
- MiniMax M3 on Apple M2 Max
What This Model Is Good At
Model & Tools
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