Can I Run / Qwen3.8 2.4T A95B / on Apple M2 Max (96GB)

Can I Run Qwen3.8 2.4T A95B on a Apple M2 Max (96GB)?

Yes

Runs comfortably at Q6_K — minimal quality loss.

Model size
95.0B
GPU memory
96.0GB
Smallest quant
Q4_K_M
Best fit
Q6_K

3 quantizations fit your 96.0GB

QuantMin VRAMRecommendedFile sizeHeadroom
Q6_KBEST79.3 GB80.8 GB78.3 GB+16.7 GB
Q5_K_M68.5 GB70.0 GB67.5 GB+27.5 GB
Q4_K_M58.6 GB60.1 GB57.6 GB+37.4 GB

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Full model details
Qwen3.8 2.4T A95B

All quant variants, benchmark scores, and use-case tags.

Best models for this GPU
Apple M2 Max (96GB)

Top-ranked open-source models that fit in 96.0GB.

FAQ

Can the Apple M2 Max (96GB) run Qwen3.8 2.4T A95B?

Yes. The Apple M2 Max (96GB)'s 96.0GB of unified memory is enough to run Qwen3.8 2.4T A95B at Q6_K quantization (79.3GB required).

What's the best quantization to use?

Q6_K is the highest-precision quantization that fits in your 96.0GB. It uses about 79.3GB of memory and 80.8GB 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.