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bradhutchings
/
Mmojo-Server

GGUF
conversational
Model card Files Files and versions
xet
Community

Instructions to use bradhutchings/Mmojo-Server with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use bradhutchings/Mmojo-Server with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="bradhutchings/Mmojo-Server",
    	filename="models/Google-Gemma-12B-Instruct-v3-q8_0.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "No input example has been defined for this model task."
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use bradhutchings/Mmojo-Server 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 bradhutchings/Mmojo-Server:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf bradhutchings/Mmojo-Server:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf bradhutchings/Mmojo-Server:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf bradhutchings/Mmojo-Server:Q8_0
    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 bradhutchings/Mmojo-Server:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf bradhutchings/Mmojo-Server:Q8_0
    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 bradhutchings/Mmojo-Server:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf bradhutchings/Mmojo-Server:Q8_0
    Use Docker
    docker model run hf.co/bradhutchings/Mmojo-Server:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use bradhutchings/Mmojo-Server with Ollama:

    ollama run hf.co/bradhutchings/Mmojo-Server:Q8_0
  • Unsloth Studio

    How to use bradhutchings/Mmojo-Server 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 bradhutchings/Mmojo-Server 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 bradhutchings/Mmojo-Server to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for bradhutchings/Mmojo-Server to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use bradhutchings/Mmojo-Server with Docker Model Runner:

    docker model run hf.co/bradhutchings/Mmojo-Server:Q8_0
  • Lemonade

    How to use bradhutchings/Mmojo-Server with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull bradhutchings/Mmojo-Server:Q8_0
    Run and chat with the model
    lemonade run user.Mmojo-Server-Q8_0
    List all available models
    lemonade list
Mmojo-Server / deploy
12.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 45 commits
bradhutchings's picture
bradhutchings
macOS builds.
3ec6af7 verified 3 months ago
  • Mmojo-RPC-Server-macos-aarch64-compatible-met.zip
    770 kB
    xet
    macOS builds. 3 months ago
  • Mmojo-RPC-Server-macos-aarch64-performant-met.zip
    788 kB
    xet
    macOS builds. 3 months ago
  • Mmojo-Server-aarch64-comp-cud.zip
    210 MB
    xet
    Default configuration. 4 months ago
  • Mmojo-Server-aarch64-perf-cud.zip
    210 MB
    xet
    Default configuration. 4 months ago
  • Mmojo-Server-aarch64-rpi5.zip
    5.78 MB
    xet
    Default configuration. 4 months ago
  • Mmojo-Server-ape-compatible-linux-macos.zip
    1.09 GB
    xet
    APEs with .gguf files. 4 months ago
  • Mmojo-Server-ape-compatible-windows.zip
    1.09 GB
    xet
    APEs with .gguf files. 4 months ago
  • Mmojo-Server-ape-performant-linux-macos.zip
    4.15 GB
    xet
    APEs with .gguf files. 4 months ago
  • Mmojo-Server-ape-performant-windows.zip
    4.15 GB
    xet
    APEs with .gguf files. 4 months ago
  • Mmojo-Server-macos-aarch64-compatible-met.zip
    5.88 MB
    xet
    macOS builds. 3 months ago
  • Mmojo-Server-macos-aarch64-performant-met.zip
    5.9 MB
    xet
    macOS builds. 3 months ago
  • Mmojo-Server-raspberry-pi-5.zip
    1.08 GB
    xet
    Upload Mmojo-Server-raspberry-pi-5.zip 4 months ago
  • Mmojo-Server-x86_64-comp-cud.zip
    210 MB
    xet
    2026-03-10 Build. 4 months ago
  • Mmojo-Server-x86_64-perf-cud.zip
    211 MB
    xet
    2026-03-10 Build. 4 months ago