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 ## Overview
 
-This project explores running Ollama, a local LLM runner, with a NVIDIA K80 GPU and investigates its integration with Dify, a powerful framework for building LLM-powered applications.  The goal is to assess performance, explore limitations, and demonstrate the potential of this combination for local LLM experimentation and deployment.
+This project explores running Ollama, a local LLM runner, with a NVIDIA K80 GPU and investigates its integration with Dify, a powerful framework for building LLM-powered applications. The goal is to assess performance, explore limitations, and demonstrate the potential of this combination for local LLM experimentation and deployment.
 
 ## Motivation
 
-* **Local LLM Exploration:**  Ollama makes it incredibly easy to run Large Language Models locally.  This project aims to leverage that ease with the power of a GPU.
-* **K80 Utilization:** The NVIDIA K80, while older, remains a viable GPU for LLM inference.  This project aims to demonstrate its capability for running smaller to medium sized LLMs.
-* **Dify Integration:** Dify provides a robust framework for building LLM applications (chatbots, agents, etc.).  We want to see how seamlessly Ollama and Dify can work together, allowing us to rapidly prototype and deploy LLM-powered solutions.
+* **Local LLM Exploration:** Ollama makes it incredibly easy to run Large Language Models locally. This project aims to leverage that ease with the power of a GPU.
+* **K80 Utilization:** The NVIDIA K80, while older, remains a viable GPU for LLM inference. This project aims to demonstrate its capability for running smaller to medium sized LLMs.
+* **Dify Integration:** Dify provides a robust framework for building LLM applications (chatbots, agents, etc.). We want to see how seamlessly Ollama and Dify can work together, allowing us to rapidly prototype and deploy LLM-powered solutions.
 * **Cost-Effective Experimentation:** Running LLMs locally avoids the costs associated with cloud-based APIs, enabling broader access and experimentation.
 
-## Contributing
+## Modified Version
 
-Contributions are welcome! Please feel free to submit pull requests or open issues.
+This repository includes a modified version of Ollama, specifically customized for running on a Tesla K80 GPU. For more details and contributions, visit our GitHub page:
+
+[ollama37](https://github.com/dogkeeper886/ollama37)
+
+This custom build aims to optimize performance and compatibility with the Tesla K80 hardware, ensuring smoother integration and enhanced efficiency in LLM applications.
 
 ## License