Question Answering
Transformers
GGUF
English
gemma
text-generation-inference
unsloth
static-analysis
code-review
conversational
Instructions to use doss1232/CodeGemma-Offensive-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doss1232/CodeGemma-Offensive-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="doss1232/CodeGemma-Offensive-GGUF") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("doss1232/CodeGemma-Offensive-GGUF", dtype="auto") - llama-cpp-python
How to use doss1232/CodeGemma-Offensive-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="doss1232/CodeGemma-Offensive-GGUF", filename="unsloth.F16.gguf", )
llm.create_chat_completion( messages = "{\n \"question\": \"What is my name?\",\n \"context\": \"My name is Clara and I live in Berkeley.\"\n}" ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use doss1232/CodeGemma-Offensive-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf doss1232/CodeGemma-Offensive-GGUF:F16 # Run inference directly in the terminal: llama-cli -hf doss1232/CodeGemma-Offensive-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf doss1232/CodeGemma-Offensive-GGUF:F16 # Run inference directly in the terminal: llama-cli -hf doss1232/CodeGemma-Offensive-GGUF:F16
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 doss1232/CodeGemma-Offensive-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf doss1232/CodeGemma-Offensive-GGUF:F16
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 doss1232/CodeGemma-Offensive-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf doss1232/CodeGemma-Offensive-GGUF:F16
Use Docker
docker model run hf.co/doss1232/CodeGemma-Offensive-GGUF:F16
- LM Studio
- Jan
- Ollama
How to use doss1232/CodeGemma-Offensive-GGUF with Ollama:
ollama run hf.co/doss1232/CodeGemma-Offensive-GGUF:F16
- Unsloth Studio new
How to use doss1232/CodeGemma-Offensive-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for doss1232/CodeGemma-Offensive-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for doss1232/CodeGemma-Offensive-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for doss1232/CodeGemma-Offensive-GGUF to start chatting
- Docker Model Runner
How to use doss1232/CodeGemma-Offensive-GGUF with Docker Model Runner:
docker model run hf.co/doss1232/CodeGemma-Offensive-GGUF:F16
- Lemonade
How to use doss1232/CodeGemma-Offensive-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull doss1232/CodeGemma-Offensive-GGUF:F16
Run and chat with the model
lemonade run user.CodeGemma-Offensive-GGUF-F16
List all available models
lemonade list
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