Rent a GPU

Can the Apple M5 (16GB) run DeepSeek V4 Flash 284B-A13B?

Apple M5 (16GB) × DeepSeek V4 Flash 284B-A13B8K context
NoDoes not fit in memory
Memory at Q4_K_M173 GB of 10.7 GB
Weights 172.2 GBKV cache 0.2 GBRuntime 0.6 GB
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, DeepSeek V4 Flash 284B-A13B needs about 173 GB, but the Apple M5 (16GB) has 10.7 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run deepseek-v4-flash

At Q4_K_M it needs about 173 GB, so pick a GPU with at least 176 GB.

New to this? Step-by-step setup for the Apple M5 (16GB)

Run it in the cloud

Too big for the Apple M5 (16GB)? Run DeepSeek V4 Flash 284B-A13B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

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 10.7 GB the Apple M5 (16GB) can use. macOS lets the GPU use about 10.7 GB of the 16 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality568.8 GBToo big—
Q8_0Near-lossless302.6 GBToo big—
Q6_KExcellent233.7 GBToo big—
Q5_K_MVery good202.8 GBToo big—
Q4_K_MGood, most popular173 GBToo big—
Q3_K_MNoticeably degraded139.6 GBToo big—
Q2_KHeavily degraded107.3 GBToo big—

Measured speed from real Apple M5 (16GB) owners

Tokens per second that people measured on their own Apple M5 (16GB), next to our estimate.

No one has measured DeepSeek V4 Flash 284B-A13B on the Apple M5 (16GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M5 (16GB)? Add your real speed

One command times DeepSeek V4 Flash 284B-A13B 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-v4-flash

Windows (PowerShell)

$env:GPUFIT_MODEL="deepseek-v4-flash"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run DeepSeek V4 Flash 284B-A13B comfortably

Check Mac Studio M3 Ultra (256 GB) prices

Models that run well on the Apple M5 (16GB)

Frequently asked questions

Can Apple M5 (16GB) run DeepSeek V4 Flash 284B-A13B?

No. Even at Q4_K_M, DeepSeek V4 Flash 284B-A13B needs about 173 GB, but the Apple M5 (16GB) has 10.7 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does DeepSeek V4 Flash 284B-A13B need?

About 173 GB at Q4_K_M with 8,192 tokens of context, and about 568.8 GB at full FP16 precision.

How fast is DeepSeek V4 Flash 284B-A13B on the Apple M5 (16GB)?

It does not fit in the Apple M5 (16GB)'s memory, so most layers would run from system RAM and generation would be very slow.