Can the Apple M1 (16GB) run DeepSeek V4.1 Flash?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, DeepSeek V4.1 Flash needs about 463.4 GB, but the Apple M1 (16GB) has 10.7 GB usable. You could offload some layers to system RAM, but it will be very slow.
Run it in the cloud
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Memory needed by quantization
At 8,192 tokens of context. The black line marks the 10.7 GB the Apple M1 (16GB) can use. macOS lets the GPU use about 10.7 GB of the 16 GB unified memory by default.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 1526.8 GB | Too big | — | |
| Q8_0 | Near-lossless | 811.5 GB | Too big | — | |
| Q6_K | Excellent | 626.4 GB | Too big | — | |
| Q5_K_M | Very good | 543.5 GB | Too big | — | |
| Q4_K_M | Good, most popular | 463.4 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 373.7 GB | Too big | — | |
| Q2_K | Heavily degraded | 286.9 GB | Too big | — |
Measured speed from real Apple M1 (16GB) owners
Tokens per second that people measured on their own Apple M1 (16GB), next to our estimate.
No one has measured DeepSeek V4.1 Flash on the Apple M1 (16GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an Apple M1 (16GB)? Add your real speed
One command times DeepSeek V4.1 Flash 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 | shWindows (PowerShell)
irm https://gpufit.dev/bench.ps1 | iexModels that run well on the Apple M1 (16GB)
Frequently asked questions
Can Apple M1 (16GB) run DeepSeek V4.1 Flash?
No. Even at Q4_K_M, DeepSeek V4.1 Flash needs about 463.4 GB, but the Apple M1 (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 V4.1 Flash need?
About 463.4 GB at Q4_K_M with 8,192 tokens of context, and about 1526.8 GB at full FP16 precision.
How fast is DeepSeek V4.1 Flash on the Apple M1 (16GB)?
It does not fit in the Apple M1 (16GB)'s memory, so most layers would run from system RAM and generation would be very slow.