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jeiku
/
spare

GGUF
Model card Files Files and versions
xet
Community

Instructions to use jeiku/spare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use jeiku/spare 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 jeiku/spare:Q3_K_S
    # Run inference directly in the terminal:
    llama cli -hf jeiku/spare:Q3_K_S
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf jeiku/spare:Q3_K_S
    # Run inference directly in the terminal:
    llama cli -hf jeiku/spare:Q3_K_S
    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 jeiku/spare:Q3_K_S
    # Run inference directly in the terminal:
    ./llama-cli -hf jeiku/spare:Q3_K_S
    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 jeiku/spare:Q3_K_S
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf jeiku/spare:Q3_K_S
    Use Docker
    docker model run hf.co/jeiku/spare:Q3_K_S
  • LM Studio
  • Jan
  • Ollama

    How to use jeiku/spare with Ollama:

    ollama run hf.co/jeiku/spare:Q3_K_S
  • Unsloth Studio

    How to use jeiku/spare 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 jeiku/spare 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 jeiku/spare to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for jeiku/spare to start chatting
  • Docker Model Runner

    How to use jeiku/spare with Docker Model Runner:

    docker model run hf.co/jeiku/spare:Q3_K_S
  • Lemonade

    How to use jeiku/spare with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull jeiku/spare:Q3_K_S
    Run and chat with the model
    lemonade run user.spare-Q3_K_S
    List all available models
    lemonade list
  • Atomic Chat
spare
61.2 GB
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  • 1 contributor
History: 13 commits
jeiku's picture
jeiku
Upload Aura_v2-Q4_K.gguf
ab76ddb verified over 2 years ago
  • .gitattributes
    2.19 kB
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  • 2x9B-Q3_K_S.gguf
    6.94 GB
    xet
    Rename ggml-model-Q3_K_S.gguf to 2x9B-Q3_K_S.gguf over 2 years ago
  • Ashera-Q4_K.gguf
    4.37 GB
    xet
    Upload Ashera-Q4_K.gguf over 2 years ago
  • Aura-Q4_K.gguf
    4.37 GB
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  • Aura_v2-Q4_K.gguf
    4.37 GB
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  • Garbage-Q4_K_S.gguf
    5.13 GB
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  • LunaIntern-Q3_K_S.gguf
    8.76 GB
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  • Melinoe-Q4_K.gguf
    4.37 GB
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  • Minerva-Q4_K_S.gguf
    5.13 GB
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  • RPMix-4x7B-Q3_K.gguf
    11.6 GB
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  • Spiced_2x7B-Q3_K.gguf
    6.21 GB
    xet
    Rename ggml-model-Q3_K.gguf to Spiced_2x7B-Q3_K.gguf over 2 years ago