Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

jackxinning
/
LeanMuseAgent

Question Answering
GGUF
English
Chinese
medical
conversational
Model card Files Files and versions
xet
Community
4

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

    How to use jackxinning/LeanMuseAgent with Ollama:

    ollama run hf.co/jackxinning/LeanMuseAgent
  • Unsloth Studio

    How to use jackxinning/LeanMuseAgent 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 jackxinning/LeanMuseAgent 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 jackxinning/LeanMuseAgent to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for jackxinning/LeanMuseAgent to start chatting
  • Pi

    How to use jackxinning/LeanMuseAgent with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf jackxinning/LeanMuseAgent
    Configure the model in Pi
    # Install Pi:
    npm install -g @mariozechner/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "jackxinning/LeanMuseAgent"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Hermes Agent new

    How to use jackxinning/LeanMuseAgent with Hermes Agent:

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

    How to use jackxinning/LeanMuseAgent with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf jackxinning/LeanMuseAgent
    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 "jackxinning/LeanMuseAgent" \
      --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"
  • Docker Model Runner

    How to use jackxinning/LeanMuseAgent with Docker Model Runner:

    docker model run hf.co/jackxinning/LeanMuseAgent
  • Lemonade

    How to use jackxinning/LeanMuseAgent with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull jackxinning/LeanMuseAgent
    Run and chat with the model
    lemonade run user.LeanMuseAgent-{{QUANT_TAG}}
    List all available models
    lemonade list

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Gated model
You can list files but not access them

Preview of files found in this repository
  • LeanMuse_Text_Model_14B_Chinese
    Upload LeanMuse_14B_Chinese_NonThink.gguf about 12 hours ago
  • LeanMuse_Text_Model_14B_English
    Upload LeanMuse_14B_English_NonThink.gguf about 9 hours ago
  • LeanMuse_Text_Model_4B_Chinese
    Create LeanMuse_Text_Model_4B_Chinese/test.txt about 15 hours ago
  • LeanMuse_Text_Model_4B_English
    Create LeanMuse_Text_Model_4B_English/test.txt about 15 hours ago
  • docker
    Delete docker/test.txt 3 months ago
  • ollama
    Upload OllamaSetup.exe 28 days ago
  • pictures
    Upload 2 files 14 days ago
  • .gitattributes
    953 Bytes
    Upload LeanMuse_14B_English_NonThink.gguf about 9 hours ago
  • README.md
    14.2 kB
    Update README.md 14 days ago