Instructions to use automajicly/Local-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use automajicly/Local-Model with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="automajicly/Local-Model", filename="qwen2.5-1.5b.q8.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 automajicly/Local-Model with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf automajicly/Local-Model # Run inference directly in the terminal: llama-cli -hf automajicly/Local-Model
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf automajicly/Local-Model # Run inference directly in the terminal: llama-cli -hf automajicly/Local-Model
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 automajicly/Local-Model # Run inference directly in the terminal: ./llama-cli -hf automajicly/Local-Model
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 automajicly/Local-Model # Run inference directly in the terminal: ./build/bin/llama-cli -hf automajicly/Local-Model
Use Docker
docker model run hf.co/automajicly/Local-Model
- LM Studio
- Jan
- vLLM
How to use automajicly/Local-Model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "automajicly/Local-Model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "automajicly/Local-Model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/automajicly/Local-Model
- Ollama
How to use automajicly/Local-Model with Ollama:
ollama run hf.co/automajicly/Local-Model
- Unsloth Studio new
How to use automajicly/Local-Model 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 automajicly/Local-Model 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 automajicly/Local-Model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for automajicly/Local-Model to start chatting
- Pi new
How to use automajicly/Local-Model with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf automajicly/Local-Model
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": "automajicly/Local-Model" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use automajicly/Local-Model with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf automajicly/Local-Model
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 automajicly/Local-Model
Run Hermes
hermes
- Docker Model Runner
How to use automajicly/Local-Model with Docker Model Runner:
docker model run hf.co/automajicly/Local-Model
- Lemonade
How to use automajicly/Local-Model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull automajicly/Local-Model
Run and chat with the model
lemonade run user.Local-Model-{{QUANT_TAG}}List all available models
lemonade list
First repo!
#1
by automajicly - opened
So excited. Building things without even realising it.
New autonomous AI agent abliterated, integrated Kali control with tool implementation and system error redirect and more coming soon!!
automajicly changed discussion status to closed