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miceworks
/
Mark-Engineer-302M

Text Generation
GGUF
English
Portuguese
mark
mark-ai
edge-kernel
synthetic-microbenchmarks
experimental
non-conversational
conversational
Model card Files Files and versions
xet
Community

Instructions to use miceworks/Mark-Engineer-302M 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 miceworks/Mark-Engineer-302M 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 miceworks/Mark-Engineer-302M:IQ4_NL
    # Run inference directly in the terminal:
    llama cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf miceworks/Mark-Engineer-302M:IQ4_NL
    # Run inference directly in the terminal:
    llama cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
    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 miceworks/Mark-Engineer-302M:IQ4_NL
    # Run inference directly in the terminal:
    ./llama-cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
    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 miceworks/Mark-Engineer-302M:IQ4_NL
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf miceworks/Mark-Engineer-302M:IQ4_NL
    Use Docker
    docker model run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use miceworks/Mark-Engineer-302M with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "miceworks/Mark-Engineer-302M"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "miceworks/Mark-Engineer-302M",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
  • Ollama

    How to use miceworks/Mark-Engineer-302M with Ollama:

    ollama run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
  • Unsloth Desktop
  • Docker Model Runner

    How to use miceworks/Mark-Engineer-302M with Docker Model Runner:

    docker model run hf.co/miceworks/Mark-Engineer-302M:IQ4_NL
  • Lemonade

    How to use miceworks/Mark-Engineer-302M with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull miceworks/Mark-Engineer-302M:IQ4_NL
    Run and chat with the model
    lemonade run user.Mark-Engineer-302M-IQ4_NL
    List all available models
    lemonade list
  • Atomic Chat
Mark-Engineer-302M
407 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
miceworks's picture
miceworks
fix: add config.json specifying exact parameter count
231feba verified about 2 hours ago
  • .gitattributes
    1.59 kB
    feat: upload GGUF weights (mark_engineer_302m_iq4_nl.gguf) about 20 hours ago
  • Modelfile
    537 Bytes
    feat: upload MODELFILE weights (Modelfile) about 20 hours ago
  • README.md
    3.26 kB
    docs: update model card with sober technical analysis and realistic benchmarks about 19 hours ago
  • config.json
    1.17 kB
    fix: add config.json specifying exact parameter count about 2 hours ago
  • mark_engineer_302m_iq4_nl.gguf
    236 MB
    xet
    feat: upload GGUF weights (mark_engineer_302m_iq4_nl.gguf) about 20 hours ago
  • mark_engineer_302m_iq4_nl.pt
    171 MB
    xet
    feat: upload PT weights (mark_engineer_302m_iq4_nl.pt) about 20 hours ago