Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF

Instructions to use YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_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 YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_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 YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF: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 YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF: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 YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M

Use Docker

docker model run hf.co/YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF",
		"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/YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M

Ollama
How to use YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF with Ollama:
```
ollama run hf.co/YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF with Docker Model Runner:
```
docker model run hf.co/YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M
```

Lemonade

How to use YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull YungBoiMGB17b1/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF

File size: 2,844 Bytes

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---
license: apache-2.0
language:
- en
tags:
- vision-language
- multimodal
- uncensored
- gguf
- text-generation
- image-understanding
base_model:
- DavidAU/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking
pipeline_tag: image-text-to-text
---

# Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-GGUF

This repository contains **Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-GGUF**, a 4B-parameter **vision-language instruction-tuned model** provided in **GGUF** format for efficient local inference.
The model is designed for open-ended reasoning, multimodal understanding, and minimal alignment constraints, making it suitable for experimentation, research, and advanced local deployments.

---

## Model Summary

- **Model ID**: Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking-GGUF  
- **Architecture**: Gemma 3 (4B parameters)  
- **Type**: Vision-Language (Text + Image)  
- **Format**: GGUF  
- **Publisher**: mradermacher  
- **License**: Apache 2.0 (inherits from base model)

---

## Key Characteristics

- Multimodal input support (text + images)
- Instruction-tuned for conversational and reasoning tasks
- Reduced content filtering and alignment constraints
- Optimized for local inference runtimes
- Suitable for research, exploration, and advanced user workflows

> ⚠️ This model is **uncensored**. Outputs may include sensitive or unfiltered content. Use responsibly.

---

## Supported Use Cases

### Text-Based
- Conversational assistants
- Creative writing and storytelling
- Summarization and rewriting
- General reasoning and analysis

### Vision + Text
- Image captioning
- Visual question answering
- Scene and object understanding
- Multimodal reasoning tasks

---

## GGUF Compatibility

This model can be used with GGUF-compatible runtimes such as:

- `llama.cpp`
- Ollama (GGUF-based builds)
- Other local inference engines supporting GGUF

Performance and supported features may vary depending on runtime and hardware.

---

## Basic Usage Example

### Command Line (llama.cpp-style)

```bash
./main \
  -m Andycurrent/Gemma-3-4B-VL-it-Gemini-Pro-Heretic-Uncensored-Thinking_GGUF_F16.gguf \
  -p "Describe the key idea behind multimodal AI models."
````


## Usage Notes

- Provide clear, explicit prompts for best results
- When using images, ensure proper formatting and resolution
- Add moderation or filtering layers if deploying in public-facing applications


## Ethical Considerations

Due to its uncensored nature:

- Not recommended for unrestricted public deployment
- Should not be used in safety-critical environments
- Users are responsible for compliance with applicable laws and policies

---

## Acknowledgements

- Gemma base model contributors 
- Open-source inference and quantization communities
- Tools and runtimes enabling efficient local LLM deployment

---