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@@ -13,9 +13,13 @@ This project explores running Ollama, a local LLM runner, with a NVIDIA K80 GPU
* **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. * **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. * **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 ## License