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
Download Humanity_Last_Exam_Nova1_Benchmark_Report.pdf from kings1/Nova: direct link, hf CLI and curl.
- Browser
- Download file 860 kB
-
https://huggingface.co/kings1/Nova/resolve/main/Humanity_Last_Exam_Nova1_Benchmark_Report.pdf
- Command line
-
hf download hf://kings1/Nova/Humanity_Last_Exam_Nova1_Benchmark_Report.pdf
-
curl -L -o Humanity_Last_Exam_Nova1_Benchmark_Report.pdf https://huggingface.co/kings1/Nova/resolve/main/Humanity_Last_Exam_Nova1_Benchmark_Report.pdf
860 kB
- Xet hash:
- 57fe5ddc1423a62c4de14de708ae4c862dc85bc5be4de14c5cc4d33f43375ae4
- Size of remote file:
- 860 kB
- SHA256:
- f713121231770c5fdc5f20c789b0501ee4f3355dfdcf5af0ad5722ff6951a6cf
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