Rent a GPU

Can the Apple M4 Pro (24GB) run DeepSeek R1 Distill Qwen 14B?

Apple M4 Pro (24GB) × DeepSeek R1 Distill Qwen 14B8K context
YesRuns fully on the GPU
Memory at Q6_K14.3 GB of 16.1 GB
Weights 12.1 GBKV cache 1.6 GBRuntime 0.6 GB
QuantQ6_KExcellent
Speed~13tokens per second
Max context15Ktokens 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 (24GB) can run DeepSeek R1 Distill Qwen 14B fully in unified memory at Q6_K (excellent), using about 14.3 GB of the 16.1 GB available, at roughly 13 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts DeepSeek R1 Distill Qwen 14B:

ollama run deepseek-r1:14b

Ollama's default download is Q4_K_M (about 11.2 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 (24GB)

Run it in the cloud

No Apple M4 Pro (24GB)? Run DeepSeek R1 Distill Qwen 14B 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 16.1 GB the Apple M4 Pro (24GB) can use. macOS lets the GPU use about 16.1 GB of the 24 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality31.8 GBToo big—
Q8_0Near-lossless17.9 GBToo big—
Q6_KExcellent14.3 GBFits~13 tok/s
Q5_K_MVery good12.7 GBFits~16 tok/s
Q4_K_MGood, most popular11.2 GBFits~18 tok/s
Q3_K_MNoticeably degraded9.4 GBFits~23 tok/s
Q2_KHeavily degraded7.8 GBFits~30 tok/s

Measured speed from real Apple M4 Pro (24GB) owners

Tokens per second that people measured on their own Apple M4 Pro (24GB), next to our estimate.

No one has measured DeepSeek R1 Distill Qwen 14B on the Apple M4 Pro (24GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M4 Pro (24GB)? Add your real speed

One command times DeepSeek R1 Distill Qwen 14B 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 -- deepseek-r1:14b

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-r1:14b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek R1 Distill Qwen 14B comfortably

Models that run well on the Apple M4 Pro (24GB)

Frequently asked questions

Can Apple M4 Pro (24GB) run DeepSeek R1 Distill Qwen 14B?

Yes. The Apple M4 Pro (24GB) can run DeepSeek R1 Distill Qwen 14B fully in unified memory at Q6_K (excellent), using about 14.3 GB of the 16.1 GB available, at roughly 13 tokens/second.

How much VRAM does DeepSeek R1 Distill Qwen 14B need?

About 11.2 GB at Q4_K_M with 8,192 tokens of context, and about 31.8 GB at full FP16 precision.

How fast is DeepSeek R1 Distill Qwen 14B on the Apple M4 Pro (24GB)?

Roughly 13 tokens per second at Q6_K, estimated from the Apple M4 Pro (24GB)'s 273 GB/s memory bandwidth.