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freepd
/
gemma-2b-brain-v1

Safetensors
GGUF
gemma4
llama.cpp
unsloth
vision-language-model
conversational
Model card Files Files and versions
xet
Community

Instructions to use freepd/gemma-2b-brain-v1 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 freepd/gemma-2b-brain-v1 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 freepd/gemma-2b-brain-v1:BF16
    # Run inference directly in the terminal:
    llama cli -hf freepd/gemma-2b-brain-v1:BF16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf freepd/gemma-2b-brain-v1:BF16
    # Run inference directly in the terminal:
    llama cli -hf freepd/gemma-2b-brain-v1:BF16
    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 freepd/gemma-2b-brain-v1:BF16
    # Run inference directly in the terminal:
    ./llama-cli -hf freepd/gemma-2b-brain-v1:BF16
    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 freepd/gemma-2b-brain-v1:BF16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf freepd/gemma-2b-brain-v1:BF16
    Use Docker
    docker model run hf.co/freepd/gemma-2b-brain-v1:BF16
  • LM Studio
  • Jan
  • Ollama

    How to use freepd/gemma-2b-brain-v1 with Ollama:

    ollama run hf.co/freepd/gemma-2b-brain-v1:BF16
  • Unsloth Desktop
  • Docker Model Runner

    How to use freepd/gemma-2b-brain-v1 with Docker Model Runner:

    docker model run hf.co/freepd/gemma-2b-brain-v1:BF16
  • Lemonade

    How to use freepd/gemma-2b-brain-v1 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull freepd/gemma-2b-brain-v1:BF16
    Run and chat with the model
    lemonade run user.gemma-2b-brain-v1-BF16
    List all available models
    lemonade list
  • Atomic Chat
gemma-2b-brain-v1
4.55 GB
Ctrl+K
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  • 1 contributor
History: 9 commits
freepd's picture
freepd
Add README
4cb2a50 verified about 2 months ago
  • .gitattributes
    1.7 kB
    Trained with Unsloth about 2 months ago
  • Modelfile
    205 Bytes
    Trained with Unsloth - Ollama Modelfile about 2 months ago
  • README.md
    1.14 kB
    Add README about 2 months ago
  • adapter_config.json
    1.49 kB
    Upload model trained with Unsloth about 2 months ago
  • adapter_model.safetensors
    101 MB
    xet
    Upload model trained with Unsloth about 2 months ago
  • chat_template.jinja
    413 Bytes
    Upload model trained with Unsloth about 2 months ago
  • config.json
    5.96 kB
    Trained with Unsloth - config about 2 months ago
  • gemma-4-e2b-it.BF16-mmproj.gguf
    987 MB
    xet
    Trained with Unsloth about 2 months ago
  • gemma-4-e2b-it.Q4_K_M.gguf
    3.43 GB
    xet
    Trained with Unsloth about 2 months ago
  • processor_config.json
    1.69 kB
    Upload model trained with Unsloth about 2 months ago
  • tokenizer.json
    32.2 MB
    xet
    Upload model trained with Unsloth about 2 months ago
  • tokenizer_config.json
    6.86 kB
    Upload model trained with Unsloth about 2 months ago