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Zetaphor
/
lorealtest_gguf

Transformers
GGUF
mistral
conversational
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Zetaphor/lorealtest_gguf with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Zetaphor/lorealtest_gguf", dtype="auto")
  • llama-cpp-python

    How to use Zetaphor/lorealtest_gguf with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="Zetaphor/lorealtest_gguf",
    	filename="unsloth.F16.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "No input example has been defined for this model task."
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use Zetaphor/lorealtest_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 Zetaphor/lorealtest_gguf:F16
    # Run inference directly in the terminal:
    llama cli -hf Zetaphor/lorealtest_gguf:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Zetaphor/lorealtest_gguf:F16
    # Run inference directly in the terminal:
    llama cli -hf Zetaphor/lorealtest_gguf:F16
    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 Zetaphor/lorealtest_gguf:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf Zetaphor/lorealtest_gguf:F16
    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 Zetaphor/lorealtest_gguf:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Zetaphor/lorealtest_gguf:F16
    Use Docker
    docker model run hf.co/Zetaphor/lorealtest_gguf:F16
  • LM Studio
  • Jan
  • Ollama

    How to use Zetaphor/lorealtest_gguf with Ollama:

    ollama run hf.co/Zetaphor/lorealtest_gguf:F16
  • Unsloth Studio

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

    How to use Zetaphor/lorealtest_gguf with Docker Model Runner:

    docker model run hf.co/Zetaphor/lorealtest_gguf:F16
  • Lemonade

    How to use Zetaphor/lorealtest_gguf with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Zetaphor/lorealtest_gguf:F16
    Run and chat with the model
    lemonade run user.lorealtest_gguf-F16
    List all available models
    lemonade list
lorealtest_gguf
20.2 GB
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  • 1 contributor
History: 43 commits
Zetaphor's picture
Zetaphor
(Trained with Unsloth)
0609c18 verified about 2 years ago
  • .gitattributes
    2.22 kB
    (Trained with Unsloth) about 2 years ago
  • Modelfile
    297 Bytes
    (Trained with Unsloth) about 2 years ago
  • config.json
    31 Bytes
    (Trained with Unsloth) about 2 years ago
  • unsloth.F16.gguf
    7.64 GB
    xet
    (Trained with Unsloth) about 2 years ago
  • unsloth.Q5_K_M.gguf
    2.72 GB
    xet
    (Trained with Unsloth) about 2 years ago
  • unsloth.Q5_K_S.gguf
    2.64 GB
    xet
    (Trained with Unsloth) about 2 years ago
  • unsloth.Q6_K.gguf
    3.14 GB
    xet
    (Trained with Unsloth) about 2 years ago
  • unsloth.Q8_0.gguf
    4.06 GB
    xet
    (Trained with Unsloth) about 2 years ago