Question 1

Can I run Qwen3 8B on a Apple M2 Max?

Accepted Answer

Yes — Apple M2 Max runs Qwen3 8B fully on GPU at the FP16 quantization. Full GPU inference — 96 GB VRAM meets the 20.8 GB recommendation.

Question 2

What quantization of Qwen3 8B should I use on a Apple M2 Max?

Accepted Answer

For 96 GB VRAM on the Apple M2 Max, the FP16 variant is the best fit. Estimated ~25 tokens/sec on the FP16 quantization.

Question 3

How fast does Qwen3 8B run on Apple M2 Max?

Accepted Answer

Roughly 25 tokens/sec for FP16. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Apple M2 Max is not enough for Qwen3 8B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_M	4 GB	4.6 GB	5.2 GB	8K / 8K	Full GPU	~80
Q5_K_M	5 GB	5.8 GB	6.5 GB	8K / 8K	Full GPU	~69.6
Q8_0	8 GB	9.2 GB	10.4 GB	8K / 8K	Full GPU	~47.6
FP16Best fit	16 GB	18.4 GB	20.8 GB	8K / 8K	Full GPU	~25

Can I Run Qwen3 8B on Apple M2 Max?

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