Instructions to use RichardErkhov/google_-_shieldgemma-27b-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 RichardErkhov/google_-_shieldgemma-27b-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 RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/google_-_shieldgemma-27b-gguf with Ollama:
ollama run hf.co/RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/google_-_shieldgemma-27b-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/google_-_shieldgemma-27b-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/google_-_shieldgemma-27b-gguf:Q4_K_M
Run and chat with the model
lemonade run user.google_-_shieldgemma-27b-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download shieldgemma-27b.Q3_K.gguf from RichardErkhov/google_-_shieldgemma-27b-gguf: direct link, hf CLI and curl.
- Browser
- Download file 13.4 GB
-
https://huggingface.co/RichardErkhov/google_-_shieldgemma-27b-gguf/resolve/main/shieldgemma-27b.Q3_K.gguf
- Command line
-
hf download hf://RichardErkhov/google_-_shieldgemma-27b-gguf/shieldgemma-27b.Q3_K.gguf
-
curl -L -o shieldgemma-27b.Q3_K.gguf https://huggingface.co/RichardErkhov/google_-_shieldgemma-27b-gguf/resolve/main/shieldgemma-27b.Q3_K.gguf
13.4 GB
- Xet hash:
- ef0ec0e30ce5494238e7097f0864a78a70bc06a32b855960334d14afe2401513
- Size of remote file:
- 13.4 GB
- SHA256:
- ead3a79bba1b58df54a4fac859e72cb66f490ab839a80e8e3022e34191289fc4
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