Run DeepSeek R1 Locally Using Ollama #ai #llm #deepseek #r1 #ollama #artificialintelligence

Stream Developers
27 Jan 202503:00

TLDRThis tutorial demonstrates how to run the DeepSeek R1 model locally using AMA, keeping your data offline and secure. After downloading AMA, users can run the model with a simple command to perform complex tasks in areas like mathematics, coding, and science. The video highlights how to run different versions of the model and provides a practical example where the R1 model solves a physics problem involving particle collisions. It emphasizes that the model offers high performance, similar to OpenAI's models, but with the benefit of privacy by operating entirely on your local machine.

Takeaways

  • 💻 You can run the DeepSeek R1 model locally using AMA, keeping your data offline and on your machine.
  • 🔗 First, download AMA to get started with running the DeepSeek R1 model locally.
  • 🚀 Running the model is as simple as using a single command: 'AMA run deeps R1'.
  • 🔍 The DeepSeek R1 model offers performance comparable to OpenAI's GPT-3 models, making it suitable for complex tasks in mathematics, coding, and science.
  • 📊 There are six different distilled versions of the model, ranging from smaller to larger, allowing you to choose the one that best fits your needs.
  • 🔍 To run a specific version, use the command 'AMA run' followed by the version name, such as 'DSE R1 dist Lama 8p'.
  • ⏱️ Downloading the model for the first time may take about 2 to 3 minutes, depending on your machine's performance.
  • 📝 You can input prompts directly into the terminal to get solutions from the model.
  • 🔍 The model processes the prompt through a long chain of thought and explores different alternatives before providing the final answer.
  • ✅ In the example given, the model correctly calculated the velocity of the smaller mass after a collision as 6 m/s.
  • 🌐 Running DeepSeek R1 locally with AMA ensures your data remains private and secure on your device.

Q & A

  • What is DeepSeek R1?

    -DeepSeek R1 is a local thinking model that can be run using AMA, allowing users to perform complex tasks such as mathematics, coding, and science without sending their data online.

  • How can I run DeepSeek R1 locally using AMA?

    -To run DeepSeek R1 locally using AMA, you first need to download AMA. Then, you can run the model with a single command, such as 'AMA run deeps R1'. You can also specify the version of the model you want to run.

  • What are the different versions of the DeepSeek R1 model?

    -The DeepSeek R1 model comes in six different distilled versions, ranging from a smaller version to a larger version. You can choose the version that best suits your needs.

  • How long does it take to download the DeepSeek R1 model for the first time?

    -The first-time download of the DeepSeek R1 model will take about 2 to 3 minutes, depending on your machine's performance.

  • What is the performance of the DeepSeek R1 model compared to OpenAI's GPT-1 models?

    -The DeepSeek R1 model has comparable performance to OpenAI's GPT-1 models, making it suitable for solving complex tasks.

  • Can I run different versions of the DeepSeek R1 model using AMA?

    -Yes, you can run any of the versions of the DeepSeek R1 model by using the 'AMA run' command followed by the version you want to run.

  • How do I input a prompt to the DeepSeek R1 model?

    -You can copy the prompt you want to use and paste it into the terminal where the DeepSeek R1 model is running. The model will then process the prompt and provide a solution.

  • What kind of tasks can the DeepSeek R1 model solve?

    -The DeepSeek R1 model can solve complex tasks in various fields, including mathematics, coding, and science.

  • Is the data kept offline when running DeepSeek R1 using AMA?

    -Yes, when you run DeepSeek R1 using AMA, your data stays entirely offline and does not leave your machine.

  • How does the DeepSeek R1 model process a prompt?

    -The DeepSeek R1 model goes through a long chain of thought and considers different alternatives before coming up with a final solution.

Outlines

00:00

💻 Running Deep Seek R1 Model Locally

The paragraph explains how to use AMA to run the Deep Seek R1 model locally, ensuring data remains offline. It details the process of downloading AMA and running the model with a single command. The performance of the Deep Seek R1 model is compared to Open AI models, highlighting its suitability for complex tasks in mathematics, coding, and science. The paragraph also mentions the availability of six different distilled models, ranging from smaller to larger versions. To run a specific version, the command 'AMA run' followed by the version name is used. An example is provided where the DSE R1 dist Lama 8p model is run. The process involves copying the command, pasting it into the terminal, and pressing the return key. The first-time download of the model takes about 2 to 3 minutes. A physics problem is then solved using the model, involving two particles colliding. The prompt is copied and pasted into the terminal, and the model processes it through a long chain of thought before arriving at the correct answer of 6 m/s for the velocity of the smaller mass.

Mindmap

Keywords

💡DeepSeek R1

DeepSeek R1 is a specific model mentioned in the script, which is used for local execution with AMA. It is compared to OpenAI's GPT-1 models in terms of performance, indicating its capability in handling complex tasks such as mathematics, coding, and science. In the script, the user aims to run this model locally to ensure data stays offline and within their machine.

💡AMA

AMA is a tool or platform used to run the DeepSeek R1 model locally. It allows users to execute the model with a single command, making it convenient for local deployment. The script mentions downloading AMA first and then using it to run the DeepSeek R1 model, highlighting its role in facilitating local model execution.

💡local execution

Local execution refers to running a model on a user's own machine rather than relying on cloud services. In the context of the script, local execution is emphasized to ensure that data remains entirely offline and does not leave the user's device, providing a secure and private way to use the DeepSeek R1 model.

💡offline data

Offline data refers to information that is stored and processed locally on a user's device without being sent to external servers. The script highlights the importance of keeping data offline when running the DeepSeek R1 model locally with AMA, ensuring privacy and security of the user's data.

💡complex tasks

Complex tasks are problems or activities that require advanced reasoning and computational capabilities to solve. The script mentions that the DeepSeek R1 model is aimed at solving complex tasks in areas such as mathematics, coding, and science, demonstrating its suitability for handling intricate and challenging problems.

💡distilled models

Distilled models are versions of a larger model that have been optimized for specific tasks or reduced in size while retaining key functionalities. The script mentions that there are six different distilled models of DeepSeek R1, ranging from smaller to larger versions, allowing users to choose the appropriate model based on their needs.

💡command

A command is an instruction given to a computer program to perform a specific action. In the script, the user runs the DeepSeek R1 model using a single command, such as 'ama run deeps R1', which simplifies the process of model execution and makes it accessible for users.

💡terminal

A terminal is a text-based interface used to interact with a computer's operating system or run commands. The script describes pasting the command into the terminal and pressing the return key to execute the DeepSeek R1 model, illustrating the use of the terminal for local model execution.

💡chain of thought

Chain of thought refers to the sequence of reasoning steps or logical processes that a model goes through to arrive at a solution. The script mentions that the DeepSeek R1 model goes through a long chain of thought and different alternatives before providing the final answer, showcasing its comprehensive and analytical approach to problem-solving.

💡velocity

Velocity is a measure of an object's speed in a specific direction. In the script, the concept of velocity is used in a physics problem involving two particles colliding, where the user wants to find the velocity of the smaller mass after the collision. This example demonstrates the application of the DeepSeek R1 model in solving physics-related problems.

Highlights

Run DeepSeek R1 Locally Using Ollama

Keep data entirely offline and on your machine

Download AMA to run the model

Run the model with a single command

DeepSeek R1 has comparable performance to OpenAI's GPT-3

Use DeepSeek R1 for complex tasks in mathematics, coding, and science

Six different distilled models available

Specify the version you want to run

Run the command 'ama run deeps R1' to start

Model download may take 2-3 minutes on first run

AMA pulls the specified model from its repository

Copy and paste the prompt into the terminal

Model goes through a long chain of thought and alternatives

Final answer is 6 m/s for the velocity of the smaller mass

Running DeepSeek R1 locally keeps your data secure and offline