prithivMLmods/Qwen3.5-4B-Unredacted-MAX
prithivMLmods/Qwen3.5-4B-Unredacted-MAX is a 4.5 billion parameter language model based on the Qwen3.5-4B architecture, optimized for improved loading stability and enhanced compatibility with modern Transformers pipelines. This version maintains the reasoning and instruction-following behavior of its base model, focusing on efficient inference and lightweight deployment. It is designed for research-oriented experimentation and local AI prototyping, particularly for understanding transformer behavior and instruction dynamics.
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Qwen3.5-4B-Unredacted-MAX Overview
This model is an optimized release of the huihui-ai/Huihui-Qwen3.5-4B-abliterated base, featuring a 4.5 billion parameter architecture. It has been re-sharded and packaged for improved loading stability and enhanced compatibility with current Hugging Face Transformers versions. The model preserves the core reasoning and instruction-following capabilities of its base, making it suitable for efficient deployment and research.
Key Capabilities & Features
- Optimized Packaging: Improved repository structure for smoother downloads and inference initialization.
- Stable Transformers Compatibility: Designed for modern Hugging Face Transformers workflows.
- 4B Parameter Architecture: Lightweight and resource-efficient, ideal for local inference and experimentation.
- Improved Instruction Handling: Maintains consistent behavior across structured prompts and multi-step instructions.
- High Abliteration Rate: Self-reported 90.5% non-refusal rate, indicating a focus on direct response generation.
Good For
- Research into transformer behavior and instruction-following dynamics.
- Lightweight local AI deployment and prototyping.
- Red-teaming and robustness testing of language models.
- Efficient inference on hardware with limited resources.