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yusasif
/
campaign-assistant-models

ONNX
GGUF
conversational
Model card Files Files and versions
xet
Community

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

    How to use yusasif/campaign-assistant-models with Ollama:

    ollama run hf.co/yusasif/campaign-assistant-models
  • Unsloth Studio

    How to use yusasif/campaign-assistant-models 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 yusasif/campaign-assistant-models 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 yusasif/campaign-assistant-models to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for yusasif/campaign-assistant-models to start chatting
  • Docker Model Runner

    How to use yusasif/campaign-assistant-models with Docker Model Runner:

    docker model run hf.co/yusasif/campaign-assistant-models
  • Lemonade

    How to use yusasif/campaign-assistant-models with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull yusasif/campaign-assistant-models
    Run and chat with the model
    lemonade run user.campaign-assistant-models-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
campaign-assistant-models
288 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
yusasif's picture
yusasif
Updated corpus with smaller chunks
ca94719 verified 24 days ago
  • bge_small_onnx
    Add BGE-small ONNX INT8 27 days ago
  • .gitattributes
    1.58 kB
    Add campaign Gemma-3-270m Q4_K_M GGUF 27 days ago
  • campaign_corpus.txt
    19.5 kB
    Updated corpus with smaller chunks 24 days ago
  • campaign_embeddings.bin
    110 kB
    xet
    Smaller chunks: 59 chunks avg 318 chars 24 days ago
  • campaign_gemma_q4.gguf
    253 MB
    xet
    Add campaign Gemma-3-270m Q4_K_M GGUF 27 days ago