Instructions to use doss1232/CodeGemma-Offensive-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use doss1232/CodeGemma-Offensive-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 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 serve -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 Desktop
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

Atomic Chat

doss1232 commited on Jan 20, 2025

Commit

31069b7

verified ·

1 Parent(s): bf9461f

Update README.md

Browse files

Files changed (1) hide show

README.md +4 -2

README.md CHANGED Viewed

@@ -5,10 +5,12 @@ tags:
 - transformers
 - unsloth
 - gemma
-- gguf
 license: apache-2.0
 language:
 - en
 ---
 # Uploaded  model
@@ -34,4 +36,4 @@ It takes about 20GB to download and used 20GB RAM also.
 # Usage
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/675fa7b0074ff89c5c1c85e0/_sf8r1aXavdV35v3Ah-TQ.png)

 - transformers
 - unsloth
 - gemma
+- static-analysis
+- code-review
 license: apache-2.0
 language:
 - en
+pipeline_tag: question-answering
 ---
 # Uploaded  model
 # Usage
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/675fa7b0074ff89c5c1c85e0/_sf8r1aXavdV35v3Ah-TQ.png)