Text Generation
GGUF
English
nvidia-nemotron
hierarchical-reasoning
mixture-of-experts
multi-modal
autonomous-code-execution
chain-of-thought
amd-rocm
humanitys-last-exam
ollama
conversational
Instructions to use kings1/Nova 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 kings1/Nova 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 kings1/Nova:Q4_K_M # Run inference directly in the terminal: llama cli -hf kings1/Nova:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf kings1/Nova:Q4_K_M # Run inference directly in the terminal: llama cli -hf kings1/Nova: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 kings1/Nova:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf kings1/Nova: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 kings1/Nova:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf kings1/Nova:Q4_K_M
Use Docker
docker model run hf.co/kings1/Nova:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use kings1/Nova with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kings1/Nova" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kings1/Nova", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/kings1/Nova:Q4_K_M
- Ollama
How to use kings1/Nova with Ollama:
ollama run hf.co/kings1/Nova:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use kings1/Nova with Docker Model Runner:
docker model run hf.co/kings1/Nova:Q4_K_M
- Lemonade
How to use kings1/Nova with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kings1/Nova:Q4_K_M
Run and chat with the model
lemonade run user.Nova-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 981 Bytes
23ea6bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | """
Launcher Script for Nova 1.0 Web GUI Server
"""
import os
import sys
import argparse
# Add project root to sys.path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from web.app import app, load_nova1_model
def main():
parser = argparse.ArgumentParser(description="Launch Nova 1.0 Web GUI")
parser.add_argument("--host", type=str, default="0.0.0.0", help="Host address to bind")
parser.add_argument("--port", type=int, default=5000, help="Port number")
args = parser.parse_args()
print(f"Loading Nova 1.0 model checkpoint and tokenizer...")
load_nova1_model()
print(f"\n=======================================================")
print(f"🚀 Nova 1.0 Web GUI is live!")
print(f"👉 Open in browser: http://localhost:{args.port}")
print(f"=======================================================\n")
app.run(host=args.host, port=args.port, debug=False)
if __name__ == "__main__":
main()
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