Can the Apple M2 Pro (32GB) run Qwen3 32B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Qwen3 32B fits on the Apple M2 Pro (32GB) at Q3_K_M, which costs noticeable quality. Expect about 7 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default qwen3:32b download is Q4_K_M, which needs about 22.6 GB, more than the 21.4 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.
New to this? Step-by-step setup for the Apple M2 Pro (32GB)
Run it in the cloud
Want full quality? Run Qwen3 32B on a bigger rented GPU.
Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 21.4 GB the Apple M2 Pro (32GB) can use. macOS lets the GPU use about 21.4 GB of the 32 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 68.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 37.6 GB | Too big | — | |
| Q6_K | Excellent | 29.6 GB | Too big | — | |
| Q5_K_M | Very good | 26.1 GB | Too big | — | |
| Q4_K_M | Good, most popular | 22.6 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 18.8 GB | Fits | ~7 tok/s | |
| Q2_K | Heavily degraded | 15 GB | Fits | ~10 tok/s |
GPUs that run Qwen3 32B comfortably
Frequently asked questions
Can Apple M2 Pro (32GB) run Qwen3 32B?
Only just. Qwen3 32B fits on the Apple M2 Pro (32GB) at Q3_K_M, which costs noticeable quality. Expect about 7 tokens/second. A card with more memory is a better experience.
How much VRAM does Qwen3 32B need?
About 22.6 GB at Q4_K_M with 8,192 tokens of context, and about 68.3 GB at full FP16 precision.
How fast is Qwen3 32B on the Apple M2 Pro (32GB)?
Roughly 7 tokens per second at Q3_K_M, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.