Rent a GPU

Can the Apple M4 Pro (24GB) run DeepSeek R1 Distill Qwen 7B?

Apple M4 Pro (24GB) × DeepSeek R1 Distill Qwen 7B8K context
YesRuns fully on the GPU
Memory at Q8_09.2 GB of 16.1 GB
Weights 8.1 GBKV cache 0.5 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~20tokens per second
Max context125Ktokens that fit at Q8_0
  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 7B fully in unified memory at Q8_0 (near-lossless), using about 9.2 GB of the 16.1 GB available, at roughly 20 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts DeepSeek R1 Distill Qwen 7B:

ollama run deepseek-r1:7b

Ollama's default download is Q4_K_M (about 5.7 GB here). You have room for Q8_0, which is near-lossless: 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 7B 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 quality16.3 GBToo big—
Q8_0Near-lossless9.2 GBFits~20 tok/s
Q6_KExcellent7.3 GBFits~26 tok/s
Q5_K_MVery good6.5 GBFits~30 tok/s
Q4_K_MGood, most popular5.7 GBFits~35 tok/s
Q3_K_MNoticeably degraded4.8 GBFits~44 tok/s
Q2_KHeavily degraded3.9 GBFits~57 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 7B 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 7B 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-r1:7b

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-r1:7b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek R1 Distill Qwen 7B comfortably

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

Frequently asked questions

Can Apple M4 Pro (24GB) run DeepSeek R1 Distill Qwen 7B?

Yes. The Apple M4 Pro (24GB) can run DeepSeek R1 Distill Qwen 7B fully in unified memory at Q8_0 (near-lossless), using about 9.2 GB of the 16.1 GB available, at roughly 20 tokens/second.

How much VRAM does DeepSeek R1 Distill Qwen 7B need?

About 5.7 GB at Q4_K_M with 8,192 tokens of context, and about 16.3 GB at full FP16 precision.

How fast is DeepSeek R1 Distill Qwen 7B on the Apple M4 Pro (24GB)?

Roughly 20 tokens per second at Q8_0, estimated from the Apple M4 Pro (24GB)'s 273 GB/s memory bandwidth.