How to Run Deepseek AI Locally on Android, Windows & iOS

NVIDIA lost $400 billion in market value as a result of a $6 million AI project that defeated ChatGPT as the #1 iPhone app. DeepSeek is an impressive chatbot that is creating excitement worldwide. As an aside, PockectPal AI lets you run Deepseek AI locally on Android and iOS. Additionally, we will discuss how to install DeepSeek R1 on Windows, Linux, and Mac OS.

As a result, your data is kept private, and you will receive responses more quickly. DeepSeek AI is easy to set up on any Android device, iOS device, Windows device, or Mac device. Now let’s explore each platform’s step-by-step guide.

Deepseek AI Installation Process and How It Works?

With DeepSeek AI, you can complete code and generate documents with open-source artificial intelligence. Under $6 million was spent on creating this powerful AI model, a much lower cost than competitors who invested hundreds of millions.

There are a number of tests that show impressive results for DeepSeek models. Based on performance tests, they earned 5.5 out of six, beating OpenAI’s o1 model and ChatGPT-4o. The costs of running these experiments were much lower than expected.

The technical breakthroughs that DeepSeek offers make it efficient:

• Calculations at inference time are scaled according to task complexity
• Expert overload is prevented through dynamic changes in a load-bearing strategy
• In PTX programming, GPU instructions are run more efficiently

There are different ways in which the model handles different tasks:

1. Updates in real-time and a conversational interface.
2. Capable of advanced reasoning.
3. A strong support system for coding and technical tasks.
4. The ability to process multilingual information quickly.

How to Run Deepseek Ai Locally for Privacy Protection?

The world of artificial intelligence is buzzing with DeepSeek. This Chinese startup was founded in May 2023 and functions as a research lab for the development of very powerful large language models (LLMs) at a lower cost than its US counterparts.

Among other reasons, DeepSeek’s open-source nature contributes to its low cost. Similarly, DeepSeek’s models perform as well (or better) than other models, and there is a wide range of models (such as programming, general-purpose, and vision) available.

How to Choose the Right Deepseek Model for Local Use?

In DeepSeek R1, you can choose from a variety of LLM models that range from 1.5B to 70 B. Using DeepSeek R1 locally requires a minimum of 8GB of RAM on a PC, Mac, or Linux system. This allows the DeepSeek R1 1.5B model to efficiently process tokens at speeds of 13 per second.

In order to use DeepSeek R1, your smartphone must have at least 6GB of memory. Smartphones require at least a 50% buffer to avoid slowing down as the model is moved into swap space since they must allocate RAM for the OS, other apps, and GPU.

The distilled model variants include:

• The DeepSeek R1 distill Qwen ranges from 1.5B parameters to 32B parameters
• It is available in an 8B and 70B configuration as the DeepSeek R1-Distill-Llama

There are specific hardware requirements for each DeepSeek version. Model sizes require the following:

Deepseek AI Runs Locally on Android, Ios, Windows & Mac – Key Features

Among its many advantages, DeepSeek offers remarkable capabilities and a wide range of availability. Platform users can choose between model versions with parameters varying from 1.5B to 70B based on their computing requirements. In addition to its unique features, DeepSeek also offers:

1. Problem-solving abilities and advanced reasoning skills.
2. Complete code completion and debugging assistance.
3. Process of generating and processing documents.
4. Interface that is both technically and non-technically friendly.
5. A complete offline experience.
6. Fees or hidden charges are not included in the subscription.

Run DeepSeek R1 locally on Android and iPhone

The DeepSeek R1 can be run locally on your Android phone and iPhone in a matter of seconds. Among LM Playground, Private AI, Llamao, and others, PocketPal offered the best way to run local AI models on Android phones for free.

Aside from Apollo AI and Private LLM, PocketPal AI is also available on iOS.

• First and foremost, download and install PocketPal AI
• The next step is to launch the app and tap “Go to Models”
• You can do this by tapping the “+” button right at the bottom
• Make sure you select “Add from Hugging Face” in the drop-down menu

Using DeepSeek Locally on a Windows or Mac Computer

It’s great to know that the steps described below will work on Windows, Mac, and Linux computers as well. As well, the software we will use is free and available for both Windows and Mac.

1. Through its official website, LM Studio is available on computers running Windows and MacOS.
2. LM Studio should now be launched after downloading and installing.
3. You can search in the left pane by clicking the search icon.
4. DeepSeek R1 Distill (Qwen 7B) is located under the Model Search menu in the left pane. Approximately 4.68 GB of space is occupied by it.
5. It is necessary for your PC to have at least 5GB of free storage space and 8GB of RAM.
6. Download the DeepSeek AI model and load it into the Chat window after completion.
7. The model should be selected and the load model button clicked. To resolve any issues, you should dial back the GPU offload to 0.
8. There you have it! Your data will no longer be sent to Chinese servers when you chat and interact with DeepSeek AI on your PC.

Secure Your Data With Deepseek AI by Using It Locally

If you use either of the above two methods to run DeepSeek AI locally, your data will not be sent to external servers. The DeepSeek AI will also provide faster responses and the option to integrate it into other workflows. You should only use a powerful computer if you own the main DeepSeek R1 model.

DeepSeek 1.5b can be used by PC users with old or underpowered hardware. One thing we’d like to mention is that upon testing, we found a lot of answers were wrong and fabricated, which is one of the reasons you shouldn’t rely heavily on AI.

How to Install Deepseek Locally Using the Linux Command Line?

In addition, DeepSeek can be installed on Linux using the full installation method. Please note that there are pretty steep system requirements for this. The following are the things you’ll need:

• CPU: A powerful multi-core processor with at least 12 cores and at least 16 cores is recommended
• GPU: The NVIDIA GPU is CUDA capable of accelerated performance. As soon as Ollama detects the absence of an NVIDIA GPU, it will run in CPU-only mode
• RAM: It is recommended to have a minimum size of 16 GB, but preferably a minimum of 32 GB or more
• Storage: Your storage should be NVMe, which provides faster read/write operations
• Operating System: To install Ubuntu, you will need an Ubuntu-based distribution

As long as your system meets those requirements and you already have Ollama installed, DeepSeek R1 can be run with:

There will be a prompt for your user password.

DeepSeek comes in several versions, including the following:

The command will finish, and you will see the Ollama prompt, where you can select the model of your choice.