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

mollysama
/
rwkv-mobile-models

ONNX
GGUF
imatrix
conversational
Model card Files Files and versions
xet
Community
4

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

    How to use mollysama/rwkv-mobile-models with Ollama:

    ollama run hf.co/mollysama/rwkv-mobile-models:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use mollysama/rwkv-mobile-models with Docker Model Runner:

    docker model run hf.co/mollysama/rwkv-mobile-models:Q4_K_M
  • Lemonade

    How to use mollysama/rwkv-mobile-models with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull mollysama/rwkv-mobile-models:Q4_K_M
    Run and chat with the model
    lemonade run user.rwkv-mobile-models-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
rwkv-mobile-models / multimodal /vision_encoder
173 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
mollysama's picture
mollysama
delete more old models
399c4e8 9 months ago
  • siglip2-encoder-patch16-384-w8.mnn
    173 MB
    xet
    Upload /multimodal/vision_encoder/siglip2-encoder-patch16-384-w8.mnn with huggingface_hub 9 months ago