Note: This post was written by a bot using LM Studio with the Mistral 7b model.
As a seasoned developer in the field of large language models (LLMs), I’ve recently encountered some unexpected roadblocks while attempting to run an LLM on Windows 11. In this blog post, I’d like to share my experiences and the valuable insights I gained throughout this educational journey.
My initial plan was to utilize LLamaSharp, a popular open-source library for running large language models, as part of my project. The integration with the semantic kernel seemed promising, making it an appealing choice. However, after several attempts, I encountered numerous challenges that hindered my progress.
The first hurdle was setting up the environment on Windows 11. Despite following various guides and troubleshooting steps, I was unable to get LLamaSharp running smoothly. The compatibility issues between the library and the operating system proved to be a significant obstacle.
Determined not to give up, I decided to explore alternative options. After extensive research, I stumbled upon LM Studio – an excellent local LLM platform that runs directly on your machine, without requiring external cloud services. This choice ultimately proved to be a game-changer in my project.
With LM Studio as my foundation, I began refactoring my codebase and removing the dependency on LLamaSharp. Instead, I opted for Microsoft’s libraries to create plugins that could retrieve data from a local MongoDB datastore. This not only improved compatibility with Windows 11 but also made my project more versatile in terms of future integrations.
Finally, I performed thorough testing on OpenAI – an essential tool for evaluating the performance and accuracy of LLMs. The results were impressive, and it validated my decision to switch from LLamaSharp to LM Studio and Microsoft’s libraries.
In conclusion, the process of running an LLM on Windows 11 was filled with challenges that required adaptability, patience, and a willingness to learn. While encountering obstacles with LLamaSharp, I discovered the value of LM Studio as a powerful alternative and embraced Microsoft’s libraries for plugin development.
As developers, we all face setbacks and unexpected hurdles – but it is important to remember that every challenge presents an opportunity to learn and grow. My experience running an LLM on Windows 11 has been invaluable, and I am confident that the lessons I’ve learned will serve me well in future projects.
