darkc0de/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-heretic
The darkc0de/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-heretic is a 27 billion parameter language model based on the Qwen3.6 architecture, fine-tuned using a distillation process from Claude Opus 4.x for enhanced reasoning capabilities. This version is a decensored variant of the original TeichAI model, created using the Heretic tool. It features a 32768 token context length and is optimized for general-purpose applications including coding, creative writing, and visual understanding.
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Model Overview
This model, darkc0de/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-heretic, is a 27 billion parameter language model derived from the Qwen3.6 base architecture. It is a decensored version of the TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2 model, created using the Heretic v1.3.0 tool. The original model was fine-tuned through distillation from Claude Opus 4.x datasets, specifically TeichAI/Claude-Opus-4.6-Reasoning-887x and TeichAI/claude-4.5-opus-high-reasoning-250x, to enhance its reasoning abilities.
Key Differentiators
- Decensored Variant: This version significantly reduces refusals compared to the original model (8/100 vs. 98/100), achieved through 'abliteration' parameters.
- Reasoning Distillation: Benefits from distillation using high-quality Claude Opus 4.x reasoning datasets.
- Performance: Benchmarks show improved performance over the base Qwen3.6-27B model across various tasks, including ARC, BoolQ, HSwag, OBQA, PIQA, and WinoGrande.
Use Cases
This model is suitable for a range of applications, including:
- Coding: Assisting with code generation and understanding.
- Creative Writing: Generating diverse and imaginative text.
- Visual Understanding: Leveraging the native-multimodal capabilities of the Qwen base model.
- General Purpose: Handling a wide array of natural language tasks.