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Can the Apple M4 Pro (48GB) run Qwen2.5 Coder 32B?

Apple M4 Pro (48GB) × Qwen2.5 Coder 32B8K context
YesRuns fully on the GPU
Memory at Q6_K29.6 GB of 36 GB
Weights 26.9 GBKV cache 2.1 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~6tokens per second
Max context31Ktokens that fit at Q6_K
  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 M4 Pro (48GB) can run Qwen2.5 Coder 32B fully in unified memory at Q6_K (excellent), using about 29.6 GB of the 36 GB available, at roughly 6 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen2.5 Coder 32B:

ollama run qwen2.5-coder:32b

Ollama's default download is Q4_K_M (about 22.6 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Apple M4 Pro (48GB)

Run it in the cloud

No Apple M4 Pro (48GB)? Run Qwen2.5 Coder 32B in the cloud.

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

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 36 GB the Apple M4 Pro (48GB) can use. macOS lets the GPU use about 36 GB of the 48 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality68.3 GBToo big—
Q8_0Near-lossless37.6 GBToo big—
Q6_KExcellent29.6 GBFits~6 tok/s
Q5_K_MVery good26.1 GBFits~7 tok/s
Q4_K_MGood, most popular22.6 GBFits~8 tok/s
Q3_K_MNoticeably degraded18.8 GBFits~10 tok/s
Q2_KHeavily degraded15 GBFits~13 tok/s

Measured speed from real Apple M4 Pro (48GB) owners

Tokens per second that people measured on their own Apple M4 Pro (48GB), next to our estimate.

No one has measured Qwen2.5 Coder 32B on the Apple M4 Pro (48GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M4 Pro (48GB)? Add your real speed

One command times Qwen2.5 Coder 32B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- qwen2.5-coder:32b

Windows (PowerShell)

$env:GPUFIT_MODEL="qwen2.5-coder:32b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Qwen2.5 Coder 32B comfortably

Models that run well on the Apple M4 Pro (48GB)

Frequently asked questions

Can Apple M4 Pro (48GB) run Qwen2.5 Coder 32B?

Yes. The Apple M4 Pro (48GB) can run Qwen2.5 Coder 32B fully in unified memory at Q6_K (excellent), using about 29.6 GB of the 36 GB available, at roughly 6 tokens/second.

How much VRAM does Qwen2.5 Coder 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 Qwen2.5 Coder 32B on the Apple M4 Pro (48GB)?

Roughly 6 tokens per second at Q6_K, estimated from the Apple M4 Pro (48GB)'s 273 GB/s memory bandwidth.