DeepSeek AI has generated a significant stir within the artificial intelligence sector, potentially impacting companies like NVIDIA and prompting the emerging market to reevaluate the essential components for developing and operating such models. If you’re intrigued by experimenting with DeepSeek yourself, here’s a guide on how to get started:
1. First, make sure your system meets the minimum requirements, including an NVIDIA GPU (GeForce RTX 2060 or higher) and sufficient memory.
2. Next, install the necessary software, which includes CUDA Toolkit, cuDNN, and Python. You can find installation instructions for these on their respective official websites.
3. Once you have the prerequisites in place, clone the DeepSeek repository from GitHub using the following command: `git clone https://github.com/NVIDIA/DeepSeek.git`
4. Navigate to the DeepSeek directory and run the provided setup script to install the required dependencies: `./scripts/setup.sh`
5. After setting up, you can now begin experimenting with DeepSeek by running various examples found within the repository or implementing your own custom models.
How to download and install DeepSeek AI
DeepSeek’s Assistant, built on the DeepSeek-V3 platform and distinct from the controversial DeepSeek R1 model, can be found in both Apple’s App Store and Google Play Store. Similar to ChatGPT, there’s also a web-based version of DeepSeek available for users who might not have high-end systems suitable for local installation.
Great news! Thanks to Ollama, installing locally has been simplified for you. To get started, navigate to the Ollama download page and choose your operating system – it supports MacOS, Linux, and Windows. Once installed, launch the Ollama terminal. Then, depending on the model you want to run, type in one of the provided commands:
– For example, if you’re using the default model, type ‘ollama run default’.
– If you prefer another specific model, replace ‘default’ with the name of your desired model.
- ollama run deepseek-r1:1.5b
- ollama run deepseek-r1:7b
- ollama run deepseek-r1:8b
- ollama run deepseek-r1:14b
- ollama run deepseek-r1:32b
- ollama run deepseek-r1:70b
The final figure gives an idea of how resource-intensive the model will be to operate. Lighter models might not perform as well as heavier ones, but they still offer exceptional performance suitable for casual exploration. It’s worth noting that the more heavyweight models you intend to run, the greater the demand on your resources, and the more storage space you’ll require for the model setup.
As an enthusiast, I wholeheartedly recommend you kick off your journey with the 1.5b model, irrespective of your system’s hardware. This should be your starting point!
As a gamer, now that we’ve got Ollama and our model up and running, it’s time to find an intuitive way to communicate with them both. Lucky for us, Chatbox AI has made this super easy! First, let’s take a peek at the pricing to make sure we’re fully informed about what’s ahead. Once you’ve done that, navigate your way to the download page and snag the version that matches your operating system. Enjoy the gaming experience!
To use Ollama model with Chatbox AI: First, install Chatbox AI and start it up. Next, look for the “Chatbox AI” button under the “Model Provider” label. After clicking this button, select Ollama as your preferred model. Finally, within the Model section, choose the same deepseek-r1 model that you’ve already installed using the provided command.
Here it is! You are now all set to operate and engage with the DeepSeek-R1 directly on your own system. We’re excited to observe how DeepSeek performs in the future, so stay tuned to Shacknews for updates, news, and helpful guides regarding DeepSeek.
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2025-01-28 17:27