Instructions to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive",
	filename="Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Use Docker

docker model run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

LM Studio
Jan

vLLM

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Ollama
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Ollama:
```
ollama run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
```

Unsloth Studio new

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive 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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive 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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive to start chatting

Pi new

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Docker Model Runner:
```
docker model run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
```

Lemonade

How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M

Run and chat with the model

lemonade run user.Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q4_K_M

List all available models

lemonade list

New discussion

Resources

View closed (2)

Discord server

pinned

❤️ 6

#10 opened about 1 month ago by

HauhauCS

Model work is good!

#23 opened 6 days ago by

ttlove9

LMStudio 0.4.12 Failed to load multimodel.

#22 opened 20 days ago by

MinagiCN

What happened to the Gemma 4-26b and 31b launch?

#21 opened 23 days ago by

rikafurute

Model quality is good

#20 opened 26 days ago by

SDDian

Android Application default model

#19 opened 26 days ago by

jegly

No reasoning?

#18 opened 27 days ago by

James2874

Q8_K_P can't be downloaded with ollama

#17 opened 28 days ago by

tqdeas28

Update?

#16 opened about 1 month ago by

popeyed

IQ4_XS vs. Q5_K_P

#15 opened about 1 month ago by

Data-vanOrtus

Not able to load the model in Ollama

➕👍 7

#14 opened about 1 month ago by

gulaz

Full Weights

👍 2

#12 opened about 1 month ago by

iSkye

Did the mmproj file also need uncensoring or is it used as is?

#11 opened about 1 month ago by

popeyed

🚀 Starting Agent Loop Tool Efficiency Test

🔥 2

#9 opened about 1 month ago by

bukit

Gemma license?

👍 2

#7 opened about 1 month ago by

Perpetuity7

Issue not found in original model: model stops after thinking

#6 opened about 1 month ago by

IgnisIncendio

latency is too long in llama.cpp

#5 opened about 1 month ago by

AMator

Q4_0 Quant?

#4 opened about 1 month ago by

elpirater312

Any ETA on the bigger (31B, 26B) Gemma 4 models?

👍 2

#3 opened about 1 month ago by

roe2

Unable to load the model in LM Studio

#2 opened about 1 month ago by

euzen

Unclipped ggufs

#1 opened about 1 month ago by

RyanoSaurus-Wrex