Can I Run Qwen3 VL 8B Thinking on a Apple M4 Max (64GB)?
Runs at full precision (f32). Zero quality loss.
13 quantizations fit your 64.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 36.2 GB | 37.7 GB | 2.3 GB | +27.8 GB |
| fp16 | 18.6 GB | 20.1 GB | 1.2 GB | +45.4 GB |
| Q8_0 | 10.3 GB | 11.8 GB | 8.7 GB | +53.6 GB |
| Q6_K | 8.3 GB | 9.8 GB | 6.7 GB | +55.8 GB |
| Q5_K_M | 7.3 GB | 8.8 GB | 5.8 GB | +56.8 GB |
| Q5_K_S | 7.1 GB | 8.6 GB | 5.7 GB | +56.9 GB |
| Q4_1 | 6.5 GB | 8.0 GB | 5.3 GB | +57.5 GB |
| Q4_K_M | 6.3 GB | 7.8 GB | 5.0 GB | +57.7 GB |
| Q4_K_S | 6.0 GB | 7.5 GB | 4.8 GB | +58.0 GB |
| Q4_0 | 6.0 GB | 7.5 GB | 4.8 GB | +58.0 GB |
| Q3_K_M | 4.7 GB | 6.2 GB | 4.1 GB | +59.3 GB |
| Q3_K_S | 4.4 GB | 5.9 GB | 3.8 GB | +59.6 GB |
| Q2_K | 3.9 GB | 5.4 GB | 3.3 GB | +60.1 GB |
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FAQ
Can the Apple M4 Max (64GB) run Qwen3 VL 8B Thinking?
Yes. The Apple M4 Max (64GB)'s 64.0GB of unified memory is enough to run Qwen3 VL 8B Thinking at f32 quantization (36.2GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 64.0GB. It uses about 36.2GB of memory and 37.7GB 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.