Instructions to use mradermacher/shieldgemma-9b-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/shieldgemma-9b-i1-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/shieldgemma-9b-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/shieldgemma-9b-i1-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 mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/shieldgemma-9b-i1-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 mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/shieldgemma-9b-i1-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 mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use mradermacher/shieldgemma-9b-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/shieldgemma-9b-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/shieldgemma-9b-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/shieldgemma-9b-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.shieldgemma-9b-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download shieldgemma-9b.i1-IQ2_M.gguf from mradermacher/shieldgemma-9b-i1-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 3.43 GB
-
https://huggingface.co/mradermacher/shieldgemma-9b-i1-GGUF/resolve/b1bb338e23451c8954bf0c800ecfeb171af8a78d/shieldgemma-9b.i1-IQ2_M.gguf
- Command line
-
hf download hf://mradermacher/shieldgemma-9b-i1-GGUF@b1bb338e23451c8954bf0c800ecfeb171af8a78d/shieldgemma-9b.i1-IQ2_M.gguf
-
curl -L -o shieldgemma-9b.i1-IQ2_M.gguf https://huggingface.co/mradermacher/shieldgemma-9b-i1-GGUF/resolve/b1bb338e23451c8954bf0c800ecfeb171af8a78d/shieldgemma-9b.i1-IQ2_M.gguf
3.43 GB
- Xet hash:
- ee70d3eafb7f829b7962444320f0c9934c691f6523f4c8ad760292b5046c1bc9
- Size of remote file:
- 3.43 GB
- SHA256:
- 455a244937875ddb4841ec746378ec8afced788f154cbc7861503e773e380bc3
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