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freeideas
/
UsefulLocalModels

Text Classification
ONNX
Safetensors
GGUF
English
text-segmentation
entity-linking
quotation-attribution
multiple-choice
question-answering
summarization
modernbert
conversational
Model card Files Files and versions
xet
Community

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

    How to use freeideas/UsefulLocalModels with Ollama:

    ollama run hf.co/freeideas/UsefulLocalModels:Q4_K_M
  • Unsloth Desktop
  • Pi

    How to use freeideas/UsefulLocalModels with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf freeideas/UsefulLocalModels: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": "freeideas/UsefulLocalModels:Q4_K_M"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use freeideas/UsefulLocalModels with Docker Model Runner:

    docker model run hf.co/freeideas/UsefulLocalModels:Q4_K_M
  • Lemonade

    How to use freeideas/UsefulLocalModels with Lemonade:

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

    How to use freeideas/UsefulLocalModels with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf freeideas/UsefulLocalModels: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 freeideas/UsefulLocalModels:Q4_K_M
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use freeideas/UsefulLocalModels with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf freeideas/UsefulLocalModels: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 "freeideas/UsefulLocalModels: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"
UsefulLocalModels
12.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
freeideas's picture
freeideas
importance-r4: round 5 vector scorer (new rubric, short contrast sets)
b6781a1 verified about 17 hours ago
  • choice-r1
    choice-r1: one multiple-choice model for link, speaker, and same (experimental) 29 days ago
  • entity-link-r1
    entity-link-r1: the linking model behind GraEng 29 days ago
  • importance-r2
    importance-r2: KnoEng's vector importance scorer (gte-modernbert-base fine-tuned, round 3 labels) 1 day ago
  • importance-r3
    importance-r3: KnoEng's vector importance scorer, round 4 (contrast-style training sets added) about 21 hours ago
  • importance-r4
    importance-r4: round 5 vector scorer (new rubric, short contrast sets) about 17 hours ago
  • path-answer-r1
    Add path-answer-r1: GraEng paths() judge about 23 hours ago
  • path-step-r1
    Add path-step-r1: GraEng paths() judge about 23 hours ago
  • same-subject-r2
    same-subject-r2: the same-subject classifier (PyTorch and ONNX) 29 days ago
  • same-subject-r3
    same-subject-r3: textbooks, novels, chats and summary pairs 27 days ago
  • same-subject-r4
    same-subject-r4: trained only on text free for commercial use 18 days ago
  • speaker-r1
    speaker-r1: the speaker model behind GraEng 29 days ago
  • sumeng-summarizer-qwen3.5-4b
    sumeng-summarizer-qwen3.5-4b 27 days ago
  • .gitattributes
    1.63 kB
    sumeng-summarizer-qwen3.5-4b 27 days ago
  • README.md
    33.7 kB
    Cards for path-step-r1 and path-answer-r1 about 23 hours ago