Can I Run Ministral 3 8B on a Apple M2 Ultra (192GB)?
Runs at full precision (f32). Zero quality loss.
13 quantizations fit your 192GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 33.0 GB | 34.5 GB | 1.7 GB | +159.0 GB |
| fp16 | 17.0 GB | 18.5 GB | 0.9 GB | +175.0 GB |
| Q8_0 | 9.5 GB | 11.0 GB | 9.0 GB | +182.5 GB |
| Q6_K | 7.6 GB | 9.1 GB | 7.0 GB | +184.4 GB |
| Q5_K_M | 6.7 GB | 8.2 GB | 6.1 GB | +185.3 GB |
| Q5_K_S | 6.5 GB | 8.0 GB | 5.9 GB | +185.5 GB |
| Q4_1 | 6.0 GB | 7.5 GB | 5.4 GB | +186.0 GB |
| Q4_K_M | 5.8 GB | 7.3 GB | 5.2 GB | +186.2 GB |
| Q4_K_S | 5.6 GB | 7.1 GB | 5.0 GB | +186.4 GB |
| Q4_0 | 5.5 GB | 7.0 GB | 4.9 GB | +186.5 GB |
| Q3_K_M | 4.3 GB | 5.8 GB | 4.2 GB | +187.7 GB |
| Q3_K_S | 4.1 GB | 5.6 GB | 3.9 GB | +187.9 GB |
| Q2_K | 3.6 GB | 5.1 GB | 3.4 GB | +188.4 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 192GB.
FAQ
Can the Apple M2 Ultra (192GB) run Ministral 3 8B?
Yes. The Apple M2 Ultra (192GB)'s 192GB of unified memory is enough to run Ministral 3 8B at f32 quantization (33.0GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 192GB. It uses about 33.0GB of memory and 34.5GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.