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SleepVeryHard
/
ToriiGate-0.5_GGUF

Image-Text-to-Text
GGUF
English
multimodal
vision
conversational
Model card Files Files and versions
xet
Community

Instructions to use SleepVeryHard/ToriiGate-0.5_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 SleepVeryHard/ToriiGate-0.5_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 SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    # Run inference directly in the terminal:
    llama cli -hf SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    # Run inference directly in the terminal:
    llama cli -hf SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    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 SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    # Run inference directly in the terminal:
    ./llama-cli -hf SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    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 SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    Use Docker
    docker model run hf.co/SleepVeryHard/ToriiGate-0.5_GGUF:BF16
  • LM Studio
  • Jan
  • vLLM

    How to use SleepVeryHard/ToriiGate-0.5_GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "SleepVeryHard/ToriiGate-0.5_GGUF"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "SleepVeryHard/ToriiGate-0.5_GGUF",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/SleepVeryHard/ToriiGate-0.5_GGUF:BF16
  • Ollama

    How to use SleepVeryHard/ToriiGate-0.5_GGUF with Ollama:

    ollama run hf.co/SleepVeryHard/ToriiGate-0.5_GGUF:BF16
  • Unsloth Desktop
  • Docker Model Runner

    How to use SleepVeryHard/ToriiGate-0.5_GGUF with Docker Model Runner:

    docker model run hf.co/SleepVeryHard/ToriiGate-0.5_GGUF:BF16
  • Lemonade

    How to use SleepVeryHard/ToriiGate-0.5_GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull SleepVeryHard/ToriiGate-0.5_GGUF:BF16
    Run and chat with the model
    lemonade run user.ToriiGate-0.5_GGUF-BF16
    List all available models
    lemonade list
  • Atomic Chat
ToriiGate-0.5_GGUF / scripts
55.5 kB
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  • 1 contributor
History: 1 commit
SleepVeryHard's picture
SleepVeryHard
bump
ac9d6fd verified 5 months ago
  • __pycache__
    bump 5 months ago
  • caption_distributed.py
    9.92 kB
    bump 5 months ago
  • gradio_interface.py
    22.2 kB
    bump 5 months ago
  • prompts.py
    11.6 kB
    bump 5 months ago
  • transformers_ver.py
    1.84 kB
    bump 5 months ago