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devshub-ai
/
knack

Text Classification
GGUF
codesync
devshub
decision-model
developer-tools
ollama
conversational
Model card Files Files and versions
xet
Community

Instructions to use devshub-ai/knack 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 devshub-ai/knack 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 devshub-ai/knack:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf devshub-ai/knack:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf devshub-ai/knack:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf devshub-ai/knack:Q4_K_M
    Build from source code
    git clone https://github.com/ggml-org/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-app
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama serve -hf devshub-ai/knack:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf devshub-ai/knack:Q4_K_M
    Use Docker
    docker model run hf.co/devshub-ai/knack:Q4_K_M
  • Llama new
  • LM Studio
  • Jan
  • Ollama

    How to use devshub-ai/knack with Ollama:

    ollama run hf.co/devshub-ai/knack:Q4_K_M
  • Unsloth Desktop
  • Pi

    How to use devshub-ai/knack with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf devshub-ai/knack:Q4_K_M
    Configure the model in Pi
    # Install Pi:
    npm install -g @earendil-works/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "devshub-ai/knack:Q4_K_M"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use devshub-ai/knack with Docker Model Runner:

    docker model run hf.co/devshub-ai/knack:Q4_K_M
  • Lemonade

    How to use devshub-ai/knack with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull devshub-ai/knack:Q4_K_M
    Run and chat with the model
    lemonade run user.knack-Q4_K_M
    List all available models
    lemonade list
  • Hermes Agent

    How to use devshub-ai/knack with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf devshub-ai/knack:Q4_K_M
    Configure Hermes
    # Install Hermes:
    curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
    hermes setup
    # Point Hermes at the local server:
    hermes config set model.provider custom
    hermes config set model.base_url http://127.0.0.1:8080/v1
    hermes config set model.default devshub-ai/knack:Q4_K_M
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use devshub-ai/knack with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf devshub-ai/knack:Q4_K_M
    Configure OpenClaw
    # Install OpenClaw:
    npm install -g openclaw@latest
    # Register the local server and set it as the default model:
    openclaw onboard --non-interactive --mode local \
      --auth-choice custom-api-key \
      --custom-base-url http://127.0.0.1:8080/v1 \
      --custom-model-id "devshub-ai/knack:Q4_K_M" \
      --custom-provider-id llama-cpp \
      --custom-compatibility openai \
      --custom-text-input \
      --accept-risk \
      --skip-health
    Run OpenClaw
    openclaw agent --local --agent main --message "Hello from Hugging Face"
knack
2.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
mmoussa's picture
mmoussa
Docs: install separated from usage, 20+ real examples
a82ebb5 verified about 1 hour ago
  • .gitattributes
    1.63 kB
    Knack v3: GGUF for Ollama / llama.cpp + knack.py about 3 hours ago
  • README.md
    14.5 kB
    Docs: install separated from usage, 20+ real examples about 1 hour ago
  • knack-v3-Q4_K_M.gguf
    516 MB
    xet
    Knack v3 as an Ollama decision model (--ask, /v1/systemone) about 2 hours ago
  • knack-v3-Q8_0.gguf
    817 MB
    xet
    Knack v3 as an Ollama decision model (--ask, /v1/systemone) about 2 hours ago
  • knack-v3.tar.gz
    802 MB
    xet
    CodeSync Knack v3 4 days ago
  • knack.py
    11.6 kB
    Docs: specialized decision model, ask by id, precise meanings, known weak spots about 1 hour ago
  • manifest.json
    294 Bytes
    Release v3 4 days ago