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sandepaAI
/
modelZ-500m

Safetensors
GGUF
llama
Model card Files Files and versions
xet
Community

Instructions to use sandepaAI/modelZ-500m 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 sandepaAI/modelZ-500m 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 sandepaAI/modelZ-500m:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf sandepaAI/modelZ-500m:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf sandepaAI/modelZ-500m:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf sandepaAI/modelZ-500m: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 sandepaAI/modelZ-500m:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf sandepaAI/modelZ-500m: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 sandepaAI/modelZ-500m:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf sandepaAI/modelZ-500m:Q4_K_M
    Use Docker
    docker model run hf.co/sandepaAI/modelZ-500m:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use sandepaAI/modelZ-500m with Ollama:

    ollama run hf.co/sandepaAI/modelZ-500m:Q4_K_M
  • Unsloth Studio

    How to use sandepaAI/modelZ-500m 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 sandepaAI/modelZ-500m 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 sandepaAI/modelZ-500m to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for sandepaAI/modelZ-500m to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use sandepaAI/modelZ-500m with Docker Model Runner:

    docker model run hf.co/sandepaAI/modelZ-500m:Q4_K_M
  • Lemonade

    How to use sandepaAI/modelZ-500m with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull sandepaAI/modelZ-500m:Q4_K_M
    Run and chat with the model
    lemonade run user.modelZ-500m-Q4_K_M
    List all available models
    lemonade list
modelZ-500m
2.17 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
sandepaAI's picture
sandepaAI
Upload modelZ-500m-Q4_K_M.gguf with huggingface_hub
860d79f verified 13 days ago
  • .gitattributes
    1.64 kB
    Upload modelZ-500m-Q4_K_M.gguf with huggingface_hub 13 days ago
  • config.json
    725 Bytes
    Final Step 100,000 Pre-trained Checkpoint 13 days ago
  • generation_config.json
    216 Bytes
    Final Step 100,000 Pre-trained Checkpoint 13 days ago
  • model.safetensors
    937 MB
    xet
    Final Step 100,000 Pre-trained Checkpoint 13 days ago
  • modelZ-500m-Q4_K_M.gguf
    289 MB
    xet
    Upload modelZ-500m-Q4_K_M.gguf with huggingface_hub 13 days ago
  • modelZ-500m-f16.gguf
    937 MB
    xet
    Upload modelZ-500m-f16.gguf with huggingface_hub 13 days ago
  • tokenizer.json
    2.27 MB
    Final Step 100,000 Pre-trained Checkpoint 13 days ago
  • tokenizer_config.json
    481 Bytes
    Final Step 100,000 Pre-trained Checkpoint 13 days ago