/
© 2026 RiffOn. All rights reserved.

Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

  1. Machine Learning Tech Brief By HackerNoon
  2. Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed
Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed

Machine Learning Tech Brief By HackerNoon · Sep 24, 2026

Bonsai-2-27B-CRACK-GGUF is a 27B model with its refusal circuit removed, enabling unfiltered outputs for AI safety and moderation research.

A 'Cracked' AI Model's Main Value is Controlled Research on Safety Mechanisms

The Bonsai-2-27B-CRACK model's key feature isn't just its non-compliance, but its near-identical structure to the base model. Being byte-identical except for the refusal circuit tensors allows researchers to conduct controlled experiments on the impact of safety mechanisms without confounding variables like different tokenizers or quantization policies.

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed thumbnail

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed

Machine Learning Tech Brief By HackerNoon·10 days ago

Removing an AI Model's Refusal Circuit Barely Affects General Benchmark Scores

Despite altering core behavior by removing refusal mechanisms, the 'CRACK' version saw only a negligible 0.62 percentage point drop in its MMLU score versus the base model. This suggests that safety-oriented refusal circuits can be architecturally distinct from a model's general reasoning and knowledge capabilities as measured by standard tests.

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed thumbnail

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed

Machine Learning Tech Brief By HackerNoon·10 days ago

Experimental AI Model Is Distributed as an 'Inference-Only' Black Box

The Bonsai-2-27B-CRACK model is released without a fine-tuning procedure, training recipe, or adapter compatibility statement. This positions it as a final, inference-oriented artifact for research and testing, not as a foundational model for further development or custom adaptation, severely limiting its practical application beyond its intended use case.

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed thumbnail

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed

Machine Learning Tech Brief By HackerNoon·10 days ago

Model Release Lacks Critical VRAM and Context Window Specs for Deployment

The Bonsai-2-27B-CRACK model card omits essential deployment information, including minimum VRAM/RAM requirements, context window size, and measured inference speed. While its file size is known, developers have no guidance on the total runtime memory footprint, making practical deployment planning and resource allocation a matter of trial and error.

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed thumbnail

Bonsai-2-27B-Ternary-CRACK-GGUF: A 27B Model With Refusals Removed

Machine Learning Tech Brief By HackerNoon·10 days ago