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simoneschiavoi
/
VisionPsy-Nano-DomCal-EmbGuard

GGUF
English
vision-language-model
quantization
llama.cpp
imatrix
conversational
Model card Files Files and versions
xet
Community

Instructions to use simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard 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 simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard 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 simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_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 simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_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 simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    Use Docker
    docker model run hf.co/simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard with Ollama:

    ollama run hf.co/simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
  • Unsloth Studio

    How to use simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard 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 simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard 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 simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard to start chatting
  • Docker Model Runner

    How to use simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard with Docker Model Runner:

    docker model run hf.co/simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
  • Lemonade

    How to use simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull simoneschiavoi/VisionPsy-Nano-DomCal-EmbGuard:Q4_K_M
    Run and chat with the model
    lemonade run user.VisionPsy-Nano-DomCal-EmbGuard-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
VisionPsy-Nano-DomCal-EmbGuard
430 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
simoneschiavoi's picture
simoneschiavoi
Add SHA256SUMS reference file
ceb324b verified 2 days ago
  • .gitattributes
    1.67 kB
    Add quantized LM + projector weights and NOTICE (Apache-2.0 derivative of QVAC VisionPsy-Nano-460M) 2 days ago
  • NOTICE
    1.14 kB
    Add quantized LM + projector weights and NOTICE (Apache-2.0 derivative of QVAC VisionPsy-Nano-460M) 2 days ago
  • README.md
    6.44 kB
    Move artifact hashes into SHA256SUMS reference file 2 days ago
  • SHA256SUMS
    215 Bytes
    Add SHA256SUMS reference file 2 days ago
  • mmproj-visionpsy-nano-460m-q8.gguf
    109 MB
    xet
    Add quantized LM + projector weights and NOTICE (Apache-2.0 derivative of QVAC VisionPsy-Nano-460M) 2 days ago
  • visionpsy-nano-460m-q4_k_m-domcal-embguard.gguf
    321 MB
    xet
    Add quantized LM + projector weights and NOTICE (Apache-2.0 derivative of QVAC VisionPsy-Nano-460M) 2 days ago