Instructions to use Nerdsking/nerdsking-python-coder-3B-i with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Nerdsking/nerdsking-python-coder-3B-i with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Nerdsking/nerdsking-python-coder-3B-i", filename="nerdsking-python-coder-3B-i_Q5_k_m.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Nerdsking/nerdsking-python-coder-3B-i with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M # Run inference directly in the terminal: llama-cli -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M # Run inference directly in the terminal: llama-cli -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_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 Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_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 Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
Use Docker
docker model run hf.co/Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
- LM Studio
- Jan
- vLLM
How to use Nerdsking/nerdsking-python-coder-3B-i with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Nerdsking/nerdsking-python-coder-3B-i" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Nerdsking/nerdsking-python-coder-3B-i", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
- Ollama
How to use Nerdsking/nerdsking-python-coder-3B-i with Ollama:
ollama run hf.co/Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
- Unsloth Studio new
How to use Nerdsking/nerdsking-python-coder-3B-i 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 Nerdsking/nerdsking-python-coder-3B-i 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 Nerdsking/nerdsking-python-coder-3B-i to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Nerdsking/nerdsking-python-coder-3B-i to start chatting
- Pi new
How to use Nerdsking/nerdsking-python-coder-3B-i with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Nerdsking/nerdsking-python-coder-3B-i with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
Run Hermes
hermes
- Docker Model Runner
How to use Nerdsking/nerdsking-python-coder-3B-i with Docker Model Runner:
docker model run hf.co/Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
- Lemonade
How to use Nerdsking/nerdsking-python-coder-3B-i with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Nerdsking/nerdsking-python-coder-3B-i:Q5_K_M
Run and chat with the model
lemonade run user.nerdsking-python-coder-3B-i-Q5_K_M
List all available models
lemonade list
All pipeline is llama.cpp?
Do you have .safetensors for this model?
We spent less resources/time training the 7B version than the 3B version. We decided to focus in models up to 4b in size, so our 7B model is not completelly trained with our methodology. In the near future a more capable 4b version will be delivered. We do not plan to disclose .safetensors for the time being untill our research isnt finished.

