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nisten
/
Reflection-70b-PreciseQuant-6bpw-gguf

GGUF
imatrix
conversational
Model card Files Files and versions
xet
Community

Instructions to use nisten/Reflection-70b-PreciseQuant-6bpw-gguf 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 nisten/Reflection-70b-PreciseQuant-6bpw-gguf 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 nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    # Run inference directly in the terminal:
    llama cli -hf nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    # Run inference directly in the terminal:
    llama cli -hf nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    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 nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    # Run inference directly in the terminal:
    ./llama-cli -hf nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    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 nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    Use Docker
    docker model run hf.co/nisten/Reflection-70b-PreciseQuant-6bpw-gguf
  • LM Studio
  • Jan
  • Ollama

    How to use nisten/Reflection-70b-PreciseQuant-6bpw-gguf with Ollama:

    ollama run hf.co/nisten/Reflection-70b-PreciseQuant-6bpw-gguf
  • Unsloth Desktop
  • Docker Model Runner

    How to use nisten/Reflection-70b-PreciseQuant-6bpw-gguf with Docker Model Runner:

    docker model run hf.co/nisten/Reflection-70b-PreciseQuant-6bpw-gguf
  • Lemonade

    How to use nisten/Reflection-70b-PreciseQuant-6bpw-gguf with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull nisten/Reflection-70b-PreciseQuant-6bpw-gguf
    Run and chat with the model
    lemonade run user.Reflection-70b-PreciseQuant-6bpw-gguf-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
Reflection-70b-PreciseQuant-6bpw-gguf
53.5 GB
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  • 1 contributor
History: 7 commits
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nisten
Update README.md
2a9427e verified almost 2 years ago
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  • README.md
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  • reflection-70b-precisequant-6bpw-00001-of-00002.gguf
    46 GB
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  • reflection-70b-precisequant-6bpw-00002-of-00002.gguf
    7.5 GB
    xet
    Upload folder using huggingface_hub almost 2 years ago