Can the Apple M2 Pro (32GB) run Qwen3 14B?

Apple M2 Pro (32GB) × Qwen3 14B8K context
YesRuns fully on the GPU
Memory at Q8_017.7 GB of 21.4 GB
Weights 15.7 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Memory17.7 GBof 21.4 GB usable
Speed~8tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Apple M2 Pro (32GB) can run Qwen3 14B fully in unified memory at Q8_0 (near-lossless), using about 17.7 GB of the 21.4 GB available, at roughly 8 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 14B:

ollama run qwen3:14b

Ollama's default download is Q4_K_M (about 10.9 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No Apple M2 Pro (32GB)? Run Qwen3 14B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

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.

QuantQualityMemoryFits?Speed
FP16Full quality31.5 GBToo big—
Q8_0Near-lossless17.7 GBFits~8 tok/s
Q6_KExcellent14.1 GBFits~10 tok/s
Q5_K_MVery good12.5 GBFits~11 tok/s
Q4_K_MGood, most popular10.9 GBFits~13 tok/s
Q3_K_MNoticeably degraded9.2 GBFits~17 tok/s
Q2_KHeavily degraded7.5 GBFits~22 tok/s

Frequently asked questions

Can Apple M2 Pro (32GB) run Qwen3 14B?

Yes. The Apple M2 Pro (32GB) can run Qwen3 14B fully in unified memory at Q8_0 (near-lossless), using about 17.7 GB of the 21.4 GB available, at roughly 8 tokens/second.

How much VRAM does Qwen3 14B need?

About 10.9 GB at Q4_K_M with 8,192 tokens of context, and about 31.5 GB at full FP16 precision.

How fast is Qwen3 14B on the Apple M2 Pro (32GB)?

Roughly 8 tokens per second at Q8_0, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.