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hotdogs
/
frankenmoe

Safetensors
GGUF
English
Thai
Mixture of Experts
test
proof-of-concept
qwen2.5
mergekit
Model card Files Files and versions
xet
Community

Instructions to use hotdogs/frankenmoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use hotdogs/frankenmoe with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="hotdogs/frankenmoe",
    	filename="chat/frankenmoe_chat-Q4_K_M.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use hotdogs/frankenmoe with llama.cpp:

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

    How to use hotdogs/frankenmoe with Ollama:

    ollama run hf.co/hotdogs/frankenmoe:Q4_K_M
  • Unsloth Studio new

    How to use hotdogs/frankenmoe 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 hotdogs/frankenmoe 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 hotdogs/frankenmoe to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for hotdogs/frankenmoe to start chatting
  • Docker Model Runner

    How to use hotdogs/frankenmoe with Docker Model Runner:

    docker model run hf.co/hotdogs/frankenmoe:Q4_K_M
  • Lemonade

    How to use hotdogs/frankenmoe with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull hotdogs/frankenmoe:Q4_K_M
    Run and chat with the model
    lemonade run user.frankenmoe-Q4_K_M
    List all available models
    lemonade list
frankenmoe / math
1.07 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
hotdogs's picture
hotdogs
Upload math/frankenmoe_math-Q4_K_M.gguf with huggingface_hub
8083d02 verified 11 days ago
  • adapter_config.json
    1.11 kB
    Upload math/adapter_config.json with huggingface_hub 11 days ago
  • adapter_model.safetensors
    73.9 MB
    xet
    Upload math/adapter_model.safetensors with huggingface_hub 11 days ago
  • chat_template.jinja
    2.51 kB
    Upload math/chat_template.jinja with huggingface_hub 11 days ago
  • frankenmoe_math-Q4_K_M.gguf
    986 MB
    xet
    Upload math/frankenmoe_math-Q4_K_M.gguf with huggingface_hub 11 days ago
  • tokenizer.json
    11.4 MB
    xet
    Upload math/tokenizer.json with huggingface_hub 11 days ago
  • tokenizer_config.json
    371 Bytes
    Upload math/tokenizer_config.json with huggingface_hub 11 days ago