Question 1

Can I run Qwen3 4B on a Apple M2 Ultra?

Accepted Answer

Yes — Apple M2 Ultra runs Qwen3 4B fully on GPU at the FP16 quantization. Full GPU inference — 192 GB VRAM meets the 10.4 GB recommendation.

Question 2

What quantization of Qwen3 4B should I use on a Apple M2 Ultra?

Accepted Answer

For 192 GB VRAM on the Apple M2 Ultra, the FP16 variant is the best fit. Estimated ~100 tokens/sec on the FP16 quantization.

Question 3

How fast does Qwen3 4B run on Apple M2 Ultra?

Accepted Answer

Roughly 100 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 Ultra is not enough for Qwen3 4B?

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	2 GB	2.3 GB	2.6 GB	8K / 8K	Full GPU	~320
Q5_K_M	2.5 GB	2.9 GB	3.3 GB	8K / 8K	Full GPU	~278.3
Q8_0	4 GB	4.6 GB	5.2 GB	8K / 8K	Full GPU	~190.5
FP16Best fit	8 GB	9.2 GB	10.4 GB	8K / 8K	Full GPU	~100

Can I Run Qwen3 4B on Apple M2 Ultra?

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