deepseek-v41-flash-1017
Run DeepSeek V4.1 Flash 1017 on a Mac
Run it
Install: pip install rapid-mlx or Rapid-MLX Desktop.
rapid-mlx serve deepseek-v41-flash-1017
Minimum RAM: 224 GB catalog floor — startup fails below it.
An experimental mixed-precision V4.1 Flash build for large-memory Macs. It uses greedy decoding, has no tool or image support, and caps inputs at 8,192 tokens and outputs at 4,096 tokens.
MoE · mixed precision · text only256 GB Mac Studio · experimental text generation
First request
rapid-mlx serve deepseek-v41-flash-1017
Weights (329.44 GB) download on first run; you get an OpenAI-compatible
endpoint at http://localhost:8000/v1. No rapid-mlx yet? It's one line —
curl -fsSL https://rapidmlx.com/install.sh | bash — or take the
desktop app.
Point a text client at it. OpenAI SDK: base_url="http://localhost:8000/v1", model="deepseek-v41-flash-1017". This build does not support tool calling.
Current-version run status
Hardware listed in release notes · Mac Studio M3 Ultra · 256 GB
Source and status
| Machine | Decode | First token | Peak memory | Cold boot | Weights |
|---|---|---|---|---|---|
| Mac Studio M3 Ultra · 256 GB rapid-mlx 0.16.5 · 2026-10-19 · site benchmark pending engine release notes | — tok/s | — | — | — | 329.44 GB |
No site benchmark has been run for this build. The weight size comes from the tagged engine model registry.
Not yet measured on rapid-mlx 0.16.5. This build has not been measured by the site's benchmark on rapid-mlx 0.16.5. The engine release notes report about 19 tok/s on M3 Ultra; that is a separate run. Engine release notes →
Will it fit your Mac?
224 GB catalog floor — startup fails below it.
For the conservative install-default placement see the hardware tiers table; to compare against every model your RAM can hold, use the live picker.
Variants & profiles
deepseek-v41-flash-reap-2bit— REAP 2-bit build with a DSpark K4 sidecar
FAQ
How much memory does DeepSeek V4.1 Flash 1017 need on a Mac?
224 GB catalog floor — startup fails below it.
How fast is DeepSeek V4.1 Flash 1017 on Apple Silicon?
This build has not been measured by the site's benchmark on rapid-mlx 0.16.5. The engine release notes report about 19 tok/s on M3 Ultra; that is a separate run.
How do I run DeepSeek V4.1 Flash 1017 locally?
rapid-mlx serve deepseek-v41-flash-1017 — the weights download on first run and you get a text-only OpenAI-compatible endpoint at localhost:8000/v1. This experimental build does not support tool calling.