---
license: apache-2.0
language:
- en
tags:
- vision-language
- multimodal
- uncensored
- gguf
- text-generation
- image-understanding
base_model:
- Gemma-3-4B
---

# 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

---