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It is built by fine-tuning the LLM, CodeLlama, under the LlamA 2.0 llm framework. Algomate is deployed on a local host using HTML, CSS, and Django.\n\n\n\n\n## Key Features:\n\n- Supports multiple programming languages like C/C++, Python, Java, JavaScript etc,.\n- Provides instant coding assistance and answers to queries.\n- Built by fine-tuning the LLM- codellama, over Llama 2.\n- Deployed on a local host with a user-friendly UI using Django.\n\n## Techstack Used:\n\n- **Large Language Model**: codellama (fine-tuned over LLaMA 2.0)\n- **Backend**: Django (python)\n- **Frontend**: HTML, CSS\n\n## Model library\n\nOllama supports a list of models available on [ollama.com/library](https://ollama.com/library 'ollama model library')\n| Model              | Parameters | Size  | Download                       |\n| ------------------ | ---------- | ----- | ------------------------------ |\n| Code Llama         | 7B         | 3.8GB | `ollama run codellama`         |\n\n### Database\n- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) (Connects Ollama models with nearly 200 data platforms and apps)\n- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) with [example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)\n\n### Algomate UI\n![Algomate SS](https://github.com/kaustuv-d/Algomate/blob/main/Algomate_working01.png)\n\n\n### Steps in Detail\n\n1. **Download Ollama:**\n   - Go to [Ollama's website](https://ollama.ai).\n   - Follow the instructions to download the necessary files for your operating system.\n\n2. **Clone the Repository:**\n   - Open your terminal or command prompt.\n   - Run the following command to clone the repository:\n     ```bash\n     git clone https://github.com/yourusername/algomate.git\n     cd algomate\n     ```\n\n3. **Create and Activate a Virtual Environment:**\n   - Run the following commands to create and activate a virtual environment:\n     ```bash\n     python3 -m venv venv\n     source venv/bin/activate   # On Windows use `venv\\Scripts\\activate`\n     ```\n\n4. **Install the Dependencies:**\n   - Install the required Python packages using pip:\n     ```bash\n     pip install -r requirements.txt\n     ```\n\n5. **Run the Server:**\n   - Start the Django development server:\n     ```bash\n     python manage.py runserver\n     ```\n\n6. **Access the Application:**\n   - Open your web browser and navigate to `http://localhost:8000` to use Algomate.\n\nFollowing these instructions, you can set up and run the Algomate app on your local machine.\n## Deployment\nThis app is deployed using Vercel. Vercel provides a seamless experience for deploying and managing applications with ease.\n\n## Creators:\n- Kaustuv Devmishra (Mechanical Engineering Dept., IIT Indore)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaustuv-d%2Falgomate","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaustuv-d%2Falgomate","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaustuv-d%2Falgomate/lists"}