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adel11
/
gguf_misdral

GGUF
Model card Files Files and versions
xet
Community

Instructions to use adel11/gguf_misdral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use adel11/gguf_misdral with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="adel11/gguf_misdral",
    	filename="mistral-wingo.FP16.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use adel11/gguf_misdral 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 adel11/gguf_misdral
    # Run inference directly in the terminal:
    llama cli -hf adel11/gguf_misdral
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf adel11/gguf_misdral
    # Run inference directly in the terminal:
    llama cli -hf adel11/gguf_misdral
    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 adel11/gguf_misdral
    # Run inference directly in the terminal:
    ./llama-cli -hf adel11/gguf_misdral
    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 adel11/gguf_misdral
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf adel11/gguf_misdral
    Use Docker
    docker model run hf.co/adel11/gguf_misdral
  • LM Studio
  • Jan
  • Ollama

    How to use adel11/gguf_misdral with Ollama:

    ollama run hf.co/adel11/gguf_misdral
  • Unsloth Studio

    How to use adel11/gguf_misdral 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 adel11/gguf_misdral 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 adel11/gguf_misdral to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for adel11/gguf_misdral to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use adel11/gguf_misdral with Docker Model Runner:

    docker model run hf.co/adel11/gguf_misdral
  • Lemonade

    How to use adel11/gguf_misdral with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull adel11/gguf_misdral
    Run and chat with the model
    lemonade run user.gguf_misdral-{{QUANT_TAG}}
    List all available models
    lemonade list
gguf_misdral
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  • 1 contributor
History: 2 commits
adel11's picture
adel11
Upload folder using huggingface_hub
6e6725d verified about 2 years ago
  • .gitattributes
    1.58 kB
    Upload folder using huggingface_hub about 2 years ago
  • ggml-adapter-model.bin
    168 MB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • mistral-wingo.FP16.gguf
    14.5 GB
    xet
    Upload folder using huggingface_hub about 2 years ago