TECH NEWS

Qwen3.6-27B Fable Fusion Breaks the 700 ARC-C Barrier

Overview

Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP is a 27-billion-parameter fine-tuned language model built by DavidAU that exceeds ARC-C benchmark scores of 700 in both 8-bit and 4-bit quantization—the first open-source model of this size to accomplish this across both precision levels. The model is a multi-stage fine-tune and merge combining work from multiple collaborators (Nightmedia for merging, TeichAI for the Polaris dataset, armand0e for Fable traces, and trohrbaugh for decensoring via Heretic v1.2.0). It supports a 256k context window, includes activated vision capabilities (requiring a separate mmproj file), and runs as GGUF quantizations in standard AI applications. The decensored version uses the Arbitrary-Rank Ablation (ARA) method, reducing refusals from 99/100 to 4/100 with a KL divergence of 0.0469. Training was conducted on consumer hardware using Unsloth, with the core mission being to improve instruction following and problem-solving without modifying the underlying Qwen 3.6 base model architecture.

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Complex reasoning and coding tasks...

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