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bwza
/
Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF

Question Answering
Transformers
GGUF
English
biology
medical
llama-cpp
gguf-my-repo
conversational
Model card Files Files and versions
xet
Community

Instructions to use bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-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 bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    llama cli -hf bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    llama cli -hf bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    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 bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    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 bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    Use Docker
    docker model run hf.co/bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF with Ollama:

    ollama run hf.co/bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF with Docker Model Runner:

    docker model run hf.co/bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
  • Lemonade

    How to use bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull bwza/Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF:Q5_K_M
    Run and chat with the model
    lemonade run user.Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF-Q5_K_M
    List all available models
    lemonade list
  • Atomic Chat
Llama3-Aloe-8B-Alpha-Q5_K_M-GGUF
5.73 GB
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  • 1 contributor
History: 3 commits
bwza's picture
bwza
Upload README.md with huggingface_hub
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  • .gitattributes
    1.59 kB
    Upload llama3-aloe-8b-alpha-q5_k_m.gguf with huggingface_hub almost 2 years ago
  • README.md
    2.23 kB
    Upload README.md with huggingface_hub almost 2 years ago
  • llama3-aloe-8b-alpha-q5_k_m.gguf
    5.73 GB
    xet
    Upload llama3-aloe-8b-alpha-q5_k_m.gguf with huggingface_hub almost 2 years ago