Instructions to use ianro04/PentaGemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use ianro04/PentaGemma with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="ianro04/PentaGemma", filename="gemma-4-e2b-it.F16-mmproj.gguf", )
llm.create_chat_completion( messages = "\"The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct.\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use ianro04/PentaGemma with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ianro04/PentaGemma:F16 # Run inference directly in the terminal: llama-cli -hf ianro04/PentaGemma:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ianro04/PentaGemma:F16 # Run inference directly in the terminal: llama-cli -hf ianro04/PentaGemma:F16
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 ianro04/PentaGemma:F16 # Run inference directly in the terminal: ./llama-cli -hf ianro04/PentaGemma:F16
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 ianro04/PentaGemma:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ianro04/PentaGemma:F16
Use Docker
docker model run hf.co/ianro04/PentaGemma:F16
- LM Studio
- Jan
- Ollama
How to use ianro04/PentaGemma with Ollama:
ollama run hf.co/ianro04/PentaGemma:F16
- Unsloth Studio new
How to use ianro04/PentaGemma 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 ianro04/PentaGemma 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 ianro04/PentaGemma to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ianro04/PentaGemma to start chatting
- Pi new
How to use ianro04/PentaGemma with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf ianro04/PentaGemma:F16
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": "ianro04/PentaGemma:F16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use ianro04/PentaGemma with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf ianro04/PentaGemma:F16
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 ianro04/PentaGemma:F16
Run Hermes
hermes
- Docker Model Runner
How to use ianro04/PentaGemma with Docker Model Runner:
docker model run hf.co/ianro04/PentaGemma:F16
- Lemonade
How to use ianro04/PentaGemma with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ianro04/PentaGemma:F16
Run and chat with the model
lemonade run user.PentaGemma-F16
List all available models
lemonade list
PentaGemma: 5-Sentence Summarizer
PentaGemma is a fine-tuned version of Gemma 4 E2B IT, but for 5-sentence text summarization and general obsession with the number 5. This was done as an amateur hobby project. Intended to be used in its dedicated Space, but can be very slow for large documents as it's only running on CPU there.
This project is licensed under Apache-2.0.
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
llama-cli -hf ianro04/PentaGemma --jinja
Available Model files:
gemma-4-e2b-it.Q4_K_S.gguf(Primary purpose)gemma-4-e2b-it.F16-mmproj.gguf(If you want multimodal for whatever reason)
This was trained 2x faster with Unsloth

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