Can I Run Qwen3 VL 235B A22B Instruct on a Apple M5 Ultra (256GB)?
Runs at Q8_0 — near-lossless quality.
10 quantizations fit your 256GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 251.4 GB | 252.9 GB | 249.9 GB | +4.6 GB |
| Q6_K | 195.2 GB | 196.7 GB | 193.0 GB | +60.8 GB |
| Q5_K_M | 168.3 GB | 169.8 GB | 166.8 GB | +87.7 GB |
| Q5_K_S | 163.6 GB | 165.1 GB | 161.9 GB | +92.4 GB |
| Q4_K_M | 143.9 GB | 145.4 GB | 142.2 GB | +112.1 GB |
| Q4_K_S | 135.9 GB | 137.4 GB | 133.7 GB | +120.1 GB |
| Q3_K_L | 105.9 GB | 107.4 GB | 121.8 GB | +150.1 GB |
| Q3_K_M | 99.7 GB | 101.2 GB | 112.5 GB | +156.3 GB |
| Q3_K_S | 91.7 GB | 93.2 GB | 101.4 GB | +164.3 GB |
| Q2_K | 78.5 GB | 80.0 GB | 85.7 GB | +177.5 GB |
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Top-ranked open-source models that fit in 256GB.
FAQ
Can the Apple M5 Ultra (256GB) run Qwen3 VL 235B A22B Instruct?
Yes. The Apple M5 Ultra (256GB)'s 256GB of unified memory is enough to run Qwen3 VL 235B A22B Instruct at Q8_0 quantization (251.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 256GB. It uses about 251.4GB of memory and 252.9GB 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.