This repository hosts Gemma 3 – 1B IT GLM-4.7 Flash Heretic Uncensored Thinking, a lightweight 1 billion–parameter instruction-tuned model derived from Google’s Gemma 3 1B IT base.

This variant is optimized for fast inference, structured reasoning behavior, and minimal refusal patterns, while maintaining compatibility with Gemma’s native instruction format.

Model Overview

Model Name: Gemma 3 – 1B IT GLM-4.7 Flash Heretic Uncensored Thinking
Parameter Count: 1 Billion (1B)
Base Architecture: Gemma 3
Base Model: google/gemma-3-1b-it
Model Type: Instruction-Tuned Causal Language Model
Context Length: Inherits base model context window
Primary Language: English
License: Gemma License (inherits from base model)
Maintainer / Publisher: DavidAU

What Is This Model?

This model is a modified derivative of Gemma 3 – 1B IT, configured for:

Reduced refusal bias compared to default IT alignment
Enhanced direct-answer behavior
Stronger short-form reasoning output
Faster response latency due to compact parameter size
“Flash”-style concise and rapid generation

The “Heretic Uncensored Thinking” configuration emphasizes:

Minimal conversational filtering
Direct completion behavior
Structured reasoning patterns when prompted

No additional safety layers beyond those present in the base architecture are intentionally introduced.

Key Features & Capabilities

Core Strengths

Fast inference on consumer GPUs and CPUs
Low VRAM requirements
Instruction-following compatibility
Concise reasoning outputs
Suitable for lightweight agent pipelines

Performance Characteristics

Optimized for short-to-medium generation tasks
Responsive in real-time assistant applications
Works well in tool-driven or chain-of-thought–style prompts
Practical for edge deployments and experimentation

Intended Use Cases

Lightweight AI assistant
Prompt engineering experimentation
Tool-augmented agents
Rapid-response chat systems
Local inference environments
Educational or research workflows
Controlled “uncensored” deployment environments

Chat Template & Prompt Format

This model follows the Gemma instruction format.

For best results:

Provide explicit system instructions
Use structured reasoning prompts when needed
Avoid mixing non-Gemma chat formats

Hardware & Deployment Notes

Due to its 1B parameter size:

Runs efficiently on 8GB GPUs
Suitable for CPU inference with quantization
Ideal for edge devices and low-resource setups
Compatible with common inference engines supporting Gemma architecture

Quantized versions (GGUF, GPTQ, AWQ, etc.) may be used depending on deployment stack.

Alignment & Safety Notice

This is an “uncensored” derivative configuration.

Reduced refusal behavior compared to standard IT
Users are responsible for system prompt controls
Deployment should follow local laws and ethical guidelines
No additional alignment layers are added by this repository

Use responsibly.

License & Usage Notes

This model inherits the Gemma License from its base model (google/gemma-3-1b-it).

The Gemma License is a custom license provided by Google
You must review and comply with the Gemma License terms
This repository does not change or replace the original licensing terms

Users are responsible for ensuring compliance with all applicable regulations.

Acknowledgements

Google for the Gemma 3 architecture and base model
The Hugging Face ecosystem
Open-source tooling communities supporting lightweight deployment

Community & Support

Use the Hugging Face Discussions tab for issues and questions
Community experimentation and benchmarking feedback is welcome

Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF

Gemma 3 – 1B IT GLM-4.7 Flash Heretic Uncensored Thinking