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Model: Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF
Source: Original Platform

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README.md

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+---
+license: gemma
+language:
+- en
+base_model:
+- google/gemma-3-1b-it
+tags:
+- uncensored
+- text-generation
+- reasoning
+- instruction-tuned
+- lightweight
+---
+
+# Gemma 3 – 1B IT GLM-4.7 Flash Heretic Uncensored Thinking
+
+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