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

kernelpool
/
MiMo-V2.6-Pro-MOPD-MXFP4-GGUF

GGUF
mimo
metal
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF 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 kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF 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 kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    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 kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    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 kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    Use Docker
    docker model run hf.co/kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF with Ollama:

    ollama run hf.co/kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
  • Unsloth Desktop
  • Docker Model Runner

    How to use kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF with Docker Model Runner:

    docker model run hf.co/kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
  • Lemonade

    How to use kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull kernelpool/MiMo-V2.6-Pro-MOPD-MXFP4-GGUF:Q8_0
    Run and chat with the model
    lemonade run user.MiMo-V2.6-Pro-MOPD-MXFP4-GGUF-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
MiMo-V2.6-Pro-MOPD-MXFP4-GGUF
560 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
kernelpool's picture
kernelpool
Add files using upload-large-folder tool
9dcf129 verified 13 days ago
  • .gitattributes
    1.74 kB
    Add files using upload-large-folder tool 13 days ago
  • MiMo-V2.6-Pro-MOPD-DFlash-Q8_0.gguf
    2.94 GB
    xet
    Add files using upload-large-folder tool 13 days ago
  • MiMo-V2.6-Pro-MOPD-MXFP4.gguf.part1
    480 GB
    xet
    Add files using upload-large-folder tool 13 days ago
  • MiMo-V2.6-Pro-MOPD-MXFP4.gguf.part2
    77.1 GB
    xet
    Add files using upload-large-folder tool 13 days ago
  • README.md
    4.1 kB
    Add files using upload-large-folder tool 13 days ago