How do I run DeepSeek locally on my Mac?

Install Ollama and run ollama run deepseek-r1, which pulls the 8b model, about 5.2GB, and opens a chat in the terminal. Pick the size by your Mac's memory: the 1.5b model (1.1GB) suits 8 GB, the 7b or 8b (4.7GB to 5.2GB) suits 16 GB, the 14b (9.0GB) wants 24 GB, the 32b (20GB) is comfortable from 64 GB, and the 70b (43GB) needs 96 GB or more. The full model, 671b at 404GB, is beyond almost every Mac. The smaller sizes are distilled: DeepSeek's reasoning trained into Qwen and Llama models, so they are related to the full model but not the same. The weights are MIT licensed and run with a 128K context window. Once it runs, point any app that speaks Ollama at it, or install Grux OS (MIT), which finds Ollama by itself and can use the model to act on your mail, calendar, files and shell.

Grux OS 3.0.0 · last checked 2026-09-30 · generated from the shipping release

The steps

brew install ollama
ollama run deepseek-r1        # the 8b model, about 5.2GB
ollama run deepseek-r1:14b    # 9.0GB, for 24 GB of memory or more

Which size fits your Mac

Your Mac's memoryDeepSeek R1 sizeDownload
8 GB1.5b (the 7b is tight)1.1GB
16 GB7b or 8b4.7GB to 5.2GB
24 GB14b9.0GB
32 GB14b comfortably; 32b is tight9.0GB, 20GB
64 GB32b20GB
96 GB or more70b43GB

The table applies the rule on the which LLM can my Mac run page: the GPU may use about three quarters of unified memory, and the model file should stay under about two thirds of that, leaving room for context. Sizes are from Ollama's DeepSeek R1 page, read on 3 October 2026.

Distilled or full

Only the 671b model is DeepSeek R1 itself. The 1.5b, 7b, 14b and 32b are Qwen models and the 70b a Llama model, fine-tuned on reasoning data DeepSeek R1 generated; the default 8b is DeepSeek-R1-0528-Qwen3-8B. They reason the same way at a smaller size, but expect less than the full model.

Where to check this

ClaimSource
Sizes from 1.5b (1.1GB) to 671b (404GB), MIT weights, 128K contextOllama library, deepseek-r1
The smaller models are distilled into Qwen and LlamaOllama library, deepseek-r1
Ollama installs on macOS and ollama run chats with a modelOllama README
Grux runs on Ollama running locally, with no keyGrux README, Requirements

Questions

Can I run DeepSeek on a MacBook Air or a Mac mini?
Yes, sized to its memory: the 1.5b model on 8 GB, the 7b or 8b on 16 GB, the 14b on 24 GB. Apple silicon runs them through Ollama.
Is running DeepSeek locally private?
Yes. Through Ollama the model runs on your Mac and nothing you type is sent anywhere.
Can I run the full DeepSeek R1 on a Mac?
Not on almost any Mac. The full 671b model is a 404GB download and needs memory well beyond that. The distilled sizes are what fits.
Download Grux 3.0.0 Read the source

Free, MIT licensed. macOS 14 or later, Apple silicon. 23.7 MB, signed and notarized by Apple. No account, no server, no subscription.