Instructions to use helenk/gemma-2-2b-it-GGUF 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 helenk/gemma-2-2b-it-GGUF 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 helenk/gemma-2-2b-it-GGUF # Run inference directly in the terminal: llama cli -hf helenk/gemma-2-2b-it-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf helenk/gemma-2-2b-it-GGUF # Run inference directly in the terminal: llama cli -hf helenk/gemma-2-2b-it-GGUF
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 helenk/gemma-2-2b-it-GGUF # Run inference directly in the terminal: ./llama-cli -hf helenk/gemma-2-2b-it-GGUF
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 helenk/gemma-2-2b-it-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf helenk/gemma-2-2b-it-GGUF
Use Docker
docker model run hf.co/helenk/gemma-2-2b-it-GGUF
- LM Studio
- Jan
- Ollama
How to use helenk/gemma-2-2b-it-GGUF with Ollama:
ollama run hf.co/helenk/gemma-2-2b-it-GGUF
- Unsloth Desktop
- Docker Model Runner
How to use helenk/gemma-2-2b-it-GGUF with Docker Model Runner:
docker model run hf.co/helenk/gemma-2-2b-it-GGUF
- Lemonade
How to use helenk/gemma-2-2b-it-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull helenk/gemma-2-2b-it-GGUF
Run and chat with the model
lemonade run user.gemma-2-2b-it-GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
- Xet hash:
- b1fd257484f740f413dd35fe1dce29e73c4c1a01218d01f4870276b43e29e2d5
- Size of remote file:
- 1.71 GB
- SHA256:
- a9de40ca88a0f9a0c229d8ee97f9db1a4f533ef5d9aa955cb6cfba814fb96b29
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