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askmyteapot
/
Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS

GGUF
imatrix
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Model card Files Files and versions
xet
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2

Instructions to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS 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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS 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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    # Run inference directly in the terminal:
    llama cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    # Run inference directly in the terminal:
    llama cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    # Run inference directly in the terminal:
    ./llama-cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    Use Docker
    docker model run hf.co/askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
  • LM Studio
  • Jan
  • Ollama

    How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with Ollama:

    ollama run hf.co/askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
  • Unsloth Desktop
  • Docker Model Runner

    How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with Docker Model Runner:

    docker model run hf.co/askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
  • Lemonade

    How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
    Run and chat with the model
    lemonade run user.Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS-IQ4_XS
    List all available models
    lemonade list
  • Atomic Chat
Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS
37.9 GB
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  • 1 contributor
History: 6 commits
askmyteapot's picture
askmyteapot
18dd06e8ddb3c22d84826d11f6126bd115b0c7cb90b0cbaf027e2ff70c59ec16
5841fc8 verified over 2 years ago
  • .gitattributes
    1.67 kB
    c88de49bd0878f20abd4ee6986800c495ba52f83f95ad2cb51a138c66c1776a1 over 2 years ago
  • Meta-Llama-3-70B-Instruct-abliterated-v3.5_IQ4_XS.gguf
    37.9 GB
    xet
    c88de49bd0878f20abd4ee6986800c495ba52f83f95ad2cb51a138c66c1776a1 over 2 years ago
  • README.md
    296 Bytes
    Update README.md over 2 years ago
  • model_ggml_q8_0.gguf.data
    24.9 MB
    xet
    Upload model_ggml_q8_0.gguf.data over 2 years ago