Note: This release currently does not have vision capabilities due to an oversight.

Qwen 3.5 27B Opus-Reasoning v2 (Abliterated) - Mixed Precision GGUFs

🔥 Model Lineage & Highlights

1. Base: Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2
   • Distilled using 14,000+ Claude 4.6 Opus-style samples to drastically improve Chain-of-Thought (CoT) efficiency.
   • Reduces unnecessarily long internal reasoning chains while maintaining top-tier benchmark scores (e.g., 96.91% pass@1 on HumanEval).
2. Abliteration: Processed via Orion-Zhen's open-source pipeline.

⚡ EvoPress Mixed-Precision Quantization

📊 Standard/Traditional Quantizations

🛠️ Technical Details & Setup

• Architecture: Hybrid Mamba-Transformer (Qwen 3.5)
• Quantization: Performed using a modified gptq-gguf-toolkit for Mamba-aware layer mapping.
• Requirements: Use a recent build of llama.cpp (March 2026+) for full Hybrid Mamba support.

🤝 Credits & Acknowledgements

• Jackrong: For the Claude-4.6-Opus reasoning distillation methodology and published model.
• Orion-Zhen: For the abliteration and refusal-removal pipeline.
• Alibaba Qwen Team: For the base Qwen 3.5 architecture.
• Flakily6416: Quantization, layer-mapping, and Mixed-Precision optimization.