Can I Run MiniMax M3 on 192 GB system RAM?
Written by Jakub Rusinowski · Last updated June 26, 2026
Yes, but it is tight
Yes, but it is tight — MiniMax M3 230B-A10B at Q4_K_M needs about 143.2 GB of the 153.6 GB usable on 192 GB system RAM, leaving only ~10.4 GB before the runtime starts swapping. Expect ~8.5 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: low · Recommended quantization: Q4_K_M · Estimated speed: ~8.5 tok/s
192 GB system RAM — what it gives a model
| Usable memory for models | 153.6 GB |
| Memory bandwidth | 90 GB/s |
MiniMax M3 on 192 GB system RAM: memory by quantization
| Quant | Memory needed | Fits 153.6 GB? | Max context | Est. speed | Download |
|---|
| F16 | 464.3 GB | ✗ No | — | — | 460 GB |
| Q8_0 | 248.7 GB | ✗ No | — | — | 244.4 GB |
| Q6_K | 192.9 GB | ✗ No | — | — | 188.6 GB |
| Q5_K_M | 167.3 GB | ✗ No | — | — | 163 GB |
| Q4_K_M | 143.2 GB | ✓ Yes | 16K | ~8.5 tok/s | 138.9 GB |
| Q3_K_M | 102.4 GB | ✓ Yes | 64K | ~10.9 tok/s | 98 GB |
| Q2_K | 79.9 GB | ✓ Yes | 128K | ~12.9 tok/s | 75.6 GB |
Which MiniMax M3 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|
| MiniMax M3 230B-A10B | 143.2 GB | ✓ Fits | ~8.5 tok/s |
| MiniMax M3-VL | 143.2 GB | ✓ Fits | ~8.5 tok/s |
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.
- 153.6 GB of the 192 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 192 GB system RAM?
Yes, but it is tight — MiniMax M3 230B-A10B at Q4_K_M needs about 143.2 GB of the 153.6 GB usable on 192 GB system RAM, leaving only ~10.4 GB before the runtime starts swapping. Expect ~8.5 tok/s (estimated), with room for about 16,384 tokens of context.
Which quantization of MiniMax M3 should I use on 192 GB system RAM?
Q4_K_M — it needs about 143.2 GB of the 153.6 GB available, downloads as roughly 138.9 GB, and runs at an estimated 8.5 tokens/sec with up to 16K of context.
What limits MiniMax M3 on 192 GB system RAM?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
llama.cpp (CPU build) or Ollama — both run without a GPU
Other RAM Capacities
Other Models on 192 GB system RAM
MiniMax M3 on GPUs
What This Model Is Good At
Model & Tools
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