These Jupyter Notebooks allow you to easily run the Gemma3:12B LLM or any others locally using Ollama and Langchain. It's a convenient way to experiment with this powerful model without relying on external APIs.
Note : The contents of README file is also available in Lovely Persian via README_FA.md file.
- Simple ChatBot based on gemma3:12b (or any other)
- RAG ChatBot using a knowledge base with persian contexts for answering accuratly
- Maybe Continue...
It does not have any seprated setup. just run every notebook cells sequentially from the first.
Feel free to use it for good purposes. these are for you without any api call for security of data and requests without any pay.
- Ollama Not Found: Ensure Ollama is installed correctly and accessible in your system's PATH. Verify Ollama is running.
- Download Errors: If you encounter errors during the model download, check your internet connection and available disk space. Try clearing your Ollama cache:
ollama cache clean. - Resource Constraints: Running large language models requires significant computational resources (CPU, RAM, GPU). If you experience performance issues or errors, try using a smaller model of gemma3 or another.
- Model Version Conflicts: Make sure the model name used in the notebook (
gemma3:12b) matches the version you have pulled with Ollama.
Feel free to fork this repository and submit pull requests for improvements or bug fixes.
MIT License