Instructions to use Navaneeth-14/rag-hackathon-app with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Navaneeth-14/rag-hackathon-app with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Navaneeth-14/rag-hackathon-app:Q4_K_M # Run inference directly in the terminal: llama cli -hf Navaneeth-14/rag-hackathon-app:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Navaneeth-14/rag-hackathon-app:Q4_K_M # Run inference directly in the terminal: llama cli -hf Navaneeth-14/rag-hackathon-app:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Navaneeth-14/rag-hackathon-app:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Navaneeth-14/rag-hackathon-app:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Navaneeth-14/rag-hackathon-app:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Navaneeth-14/rag-hackathon-app:Q4_K_M
Use Docker
docker model run hf.co/Navaneeth-14/rag-hackathon-app:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Navaneeth-14/rag-hackathon-app with Ollama:
ollama run hf.co/Navaneeth-14/rag-hackathon-app:Q4_K_M
- Unsloth Studio
How to use Navaneeth-14/rag-hackathon-app with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Navaneeth-14/rag-hackathon-app to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Navaneeth-14/rag-hackathon-app to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Navaneeth-14/rag-hackathon-app to start chatting
- Docker Model Runner
How to use Navaneeth-14/rag-hackathon-app with Docker Model Runner:
docker model run hf.co/Navaneeth-14/rag-hackathon-app:Q4_K_M
- Lemonade
How to use Navaneeth-14/rag-hackathon-app with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Navaneeth-14/rag-hackathon-app:Q4_K_M
Run and chat with the model
lemonade run user.rag-hackathon-app-Q4_K_M
List all available models
lemonade list
- Atomic Chat
| #!/usr/bin/env python3 | |
| """ | |
| Keep-alive script to prevent server auto-termination | |
| Pings the Flask server every 2 minutes to keep it alive | |
| """ | |
| import requests | |
| import time | |
| import logging | |
| from datetime import datetime | |
| # Configure logging | |
| logging.basicConfig( | |
| level=logging.INFO, | |
| format='%(asctime)s - %(levelname)s - %(message)s' | |
| ) | |
| logger = logging.getLogger(__name__) | |
| def ping_server(): | |
| """Ping the Flask server""" | |
| try: | |
| response = requests.get("http://127.0.0.1:5000/api/keep-alive", timeout=10) | |
| if response.status_code == 200: | |
| logger.info("β Server ping successful") | |
| return True | |
| else: | |
| logger.warning(f"β οΈ Server ping failed with status: {response.status_code}") | |
| return False | |
| except requests.exceptions.ConnectionError: | |
| logger.error("β Cannot connect to server - is it running?") | |
| return False | |
| except Exception as e: | |
| logger.error(f"β Ping failed: {e}") | |
| return False | |
| def main(): | |
| """Main keep-alive loop""" | |
| logger.info("π Starting keep-alive script") | |
| logger.info("This script will ping the server every 2 minutes") | |
| logger.info("Press Ctrl+C to stop") | |
| ping_count = 0 | |
| start_time = datetime.now() | |
| try: | |
| while True: | |
| ping_count += 1 | |
| current_time = datetime.now() | |
| uptime = current_time - start_time | |
| logger.info(f"Ping #{ping_count} at {current_time.strftime('%H:%M:%S')} (Uptime: {uptime})") | |
| if ping_server(): | |
| logger.info("Server is alive and responding") | |
| else: | |
| logger.warning("Server may be having issues") | |
| # Wait 2 minutes before next ping | |
| logger.info("Sleeping for 2 minutes...") | |
| time.sleep(120) # 2 minutes | |
| except KeyboardInterrupt: | |
| logger.info("π Keep-alive script stopped by user") | |
| except Exception as e: | |
| logger.error(f"Keep-alive script crashed: {e}") | |
| if __name__ == "__main__": | |
| main() |