Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic speed on Apple M4 Max and quantization-level VRAM fit.
Apple M4 Max meets the minimum VRAM requirement for Q4 inference of Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M4 Max can run Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic with Q4 quantization. At approximately 15 tokens/second, you can expect Basic speed - best for non-interactive tasks.
You have 83GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 45GB | 128GB | 14.65 tok/s | ✅ Fits comfortably |
| Q8 | 90GB | 128GB | 10.25 tok/s | ✅ Fits comfortably |
| FP16 | 180GB | 128GB | 5.57 tok/s | ❌ Not recommended |
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Apple M4 Max can run Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic at Q4 with an estimated 15 tok/s.
Q4 inference is estimated to need about 45GB VRAM on this page, while Apple M4 Max has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.