Instructions to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini", filename="gemma4-19b-a4b-REAP-heretic-APEX-mini.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini # Run inference directly in the terminal: llama-cli -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini # Run inference directly in the terminal: llama-cli -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
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 Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini # Run inference directly in the terminal: ./llama-cli -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
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 Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini # Run inference directly in the terminal: ./build/bin/llama-cli -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
Use Docker
docker model run hf.co/Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
- LM Studio
- Jan
- Ollama
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with Ollama:
ollama run hf.co/Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
- Unsloth Studio
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini 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 Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini 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 Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini to start chatting
- Pi
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
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": "Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
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 Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
Run Hermes
hermes
- Docker Model Runner
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with Docker Model Runner:
docker model run hf.co/Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
- Lemonade
How to use Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Benjamin-Wegener/gemma-4-19b-e4b-it-REAP-heretic-APEX-mini
Run and chat with the model
lemonade run user.gemma-4-19b-e4b-it-REAP-heretic-APEX-mini-{{QUANT_TAG}}List all available models
lemonade list
can we have an MTP release!?
google just released small speculative decoding models for gemma 4, so can we have one for this heretic version too?