Introduction to Bolt DIY and DeepSeek R1

Bolt DIY and DeepSeek R1 are two innovative tools that have been making waves in the world of artificial intelligence and coding. In this article, we will explore how to use DeepSeek R1 with Bolt DIY, a popular AI coding assistant. Introduction to Bolt DIY and DeepSeek R1

Setting Up Bolt DIY

To get started with Bolt DIY, you need to clone the repository and install it on your local machine. This can be done by opening the terminal, navigating to the desired folder, and running the command git clone followed by the URL of the repository. Setting Up Bolt DIY

Installing Bolt DIY

Once the repository is cloned, you need to run a series of commands to install Bolt DIY. These commands can be found in the README file of the repository. After running these commands, you will have Bolt DIY installed on your local machine. Installing Bolt DIY

Integrating DeepSeek R1 with Bolt DIY

To integrate DeepSeek R1 with Bolt DIY, you need to add the model URL from LM Studio to the settings in Bolt DIY. This can be done by clicking on the settings button, navigating to the providers tab, and adding the model URL. Integrating DeepSeek R1 with Bolt DIY

Testing the Integration

Once the integration is set up, you can test it by creating a new project and selecting the DeepSeek R1 model. You can then give it a command to see if it is working correctly. Testing the Integration

Performance of DeepSeek R1

The performance of DeepSeek R1 can be slow if you are using the local version and do not have a powerful computer. However, if you have a computer with better specifications, such as an RTX 490, the speed of the model will be faster. Performance of DeepSeek R1

Conclusion

In conclusion, using DeepSeek R1 with Bolt DIY is a powerful combination for AI coding. By following the steps outlined in this article, you can set up Bolt DIY, integrate DeepSeek R1, and start using it for your coding needs. While the performance of DeepSeek R1 can be slow, it is a good enough model for many use cases. If you have any further questions, please leave a comment, and if you like this article, please don't forget to subscribe to our channel. Conclusion