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ThorBaller
/
yes

Question Answering
Transformers
GGUF
English
llama
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ThorBaller/yes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ThorBaller/yes")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ThorBaller/yes", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

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

    How to use ThorBaller/yes with Ollama:

    ollama run hf.co/ThorBaller/yes:Q8_0
  • Unsloth Desktop
  • Docker Model Runner

    How to use ThorBaller/yes with Docker Model Runner:

    docker model run hf.co/ThorBaller/yes:Q8_0
  • Lemonade

    How to use ThorBaller/yes with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull ThorBaller/yes:Q8_0
    Run and chat with the model
    lemonade run user.yes-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
yes
8.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ThorBaller's picture
ThorBaller
Update README.md
2d50987 verified about 2 years ago
  • .gitattributes
    1.58 kB
    (Trained with Unsloth) about 2 years ago
  • README.md
    172 Bytes
    Update README.md about 2 years ago
  • config.json
    29 Bytes
    (Trained with Unsloth) about 2 years ago
  • yes-unsloth.Q8_0.gguf
    8.54 GB
    xet
    (Trained with Unsloth) about 2 years ago