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navthings
/
tale

Text Generation
GGUF
English
llama
tinystories
Model card Files Files and versions
xet
Community

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

    How to use navthings/tale with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "navthings/tale"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "navthings/tale",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/navthings/tale:F16
  • Ollama

    How to use navthings/tale with Ollama:

    ollama run hf.co/navthings/tale:F16
  • Unsloth Desktop
  • Docker Model Runner

    How to use navthings/tale with Docker Model Runner:

    docker model run hf.co/navthings/tale:F16
  • Lemonade

    How to use navthings/tale with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull navthings/tale:F16
    Run and chat with the model
    lemonade run user.tale-F16
    List all available models
    lemonade list
  • Atomic Chat
tale
149 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
navthings's picture
navthings
tale gguf + model card
2ae5d99 verified about 14 hours ago
  • .gitattributes
    1.62 kB
    tale gguf + model card about 14 hours ago
  • README.md
    913 Bytes
    tale gguf + model card about 14 hours ago
  • tale-f16.gguf
    96.6 MB
    xet
    tale gguf + model card about 14 hours ago
  • tale-q8_0.gguf
    52.2 MB
    xet
    tale gguf + model card about 14 hours ago