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enver
/
ayncoding-gemma2-2b

Text Generation
GGUF
English
Arabic
code
gemma2
google
mantiq
logic
arabic
epistemology
reasoning
chain-of-thought
aynengine
conversational
Model card Files Files and versions
xet
Community

Instructions to use enver/ayncoding-gemma2-2b 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 enver/ayncoding-gemma2-2b 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 enver/ayncoding-gemma2-2b
    # Run inference directly in the terminal:
    llama cli -hf enver/ayncoding-gemma2-2b
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf enver/ayncoding-gemma2-2b
    # Run inference directly in the terminal:
    llama cli -hf enver/ayncoding-gemma2-2b
    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 enver/ayncoding-gemma2-2b
    # Run inference directly in the terminal:
    ./llama-cli -hf enver/ayncoding-gemma2-2b
    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 enver/ayncoding-gemma2-2b
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf enver/ayncoding-gemma2-2b
    Use Docker
    docker model run hf.co/enver/ayncoding-gemma2-2b
  • LM Studio
  • Jan
  • vLLM

    How to use enver/ayncoding-gemma2-2b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "enver/ayncoding-gemma2-2b"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "enver/ayncoding-gemma2-2b",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/enver/ayncoding-gemma2-2b
  • Ollama

    How to use enver/ayncoding-gemma2-2b with Ollama:

    ollama run hf.co/enver/ayncoding-gemma2-2b
  • Unsloth Desktop
  • Docker Model Runner

    How to use enver/ayncoding-gemma2-2b with Docker Model Runner:

    docker model run hf.co/enver/ayncoding-gemma2-2b
  • Lemonade

    How to use enver/ayncoding-gemma2-2b with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull enver/ayncoding-gemma2-2b
    Run and chat with the model
    lemonade run user.ayncoding-gemma2-2b-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
ayncoding-gemma2-2b
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
enver's picture
enver
tools: add requirements.txt
ee9ed03 verified 16 days ago
  • dataset
    data: add 50-sample classical Arabic logic software engineering dataset 16 days ago
  • tools
    tools: add requirements.txt 16 days ago
  • .gitattributes
    1.58 kB
    feat: upload ayncoding-gemma2-2b.gguf binary weights 16 days ago
  • Modelfile
    3.37 kB
    feat: add sovereign Ollama Modelfile for Gemma 2 16 days ago
  • README.md
    6.71 kB
    docs: add comprehensive Model Card for AynCoding-Gemma2 16 days ago
  • ayncoding-gemma2-2b.gguf
    1.63 GB
    xet
    feat: upload ayncoding-gemma2-2b.gguf binary weights 16 days ago