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darkc0de/
Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-heretic

Name: Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-heretic
Availability: InStock

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This is a decensored version of TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2, made using Heretic v1.3.0

[!TIP] This model is reproducible!

See the README in the reproduce directory for more information.

Abliteration parameters

Parameter	Value
direction_index	41.77
attn.o_proj.max_weight	1.22
attn.o_proj.max_weight_position	51.32
attn.o_proj.min_weight	1.21
attn.o_proj.min_weight_distance	32.79
mlp.down_proj.max_weight	1.44
mlp.down_proj.max_weight_position	42.02
mlp.down_proj.min_weight	0.13
mlp.down_proj.min_weight_distance	37.15

Performance

Metric	This model	Original model (TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2)
KL divergence	0.0774	0 (by definition)
Refusals	8/100	98/100

Qwen3.6 27B x Claude Opus 4.x - v2

Benchmarks

Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2
         arc   arc/e boolq hswag obkqa piqa  wino
mxfp8    0.665,0.831,0.910,0.790,0.456,0.813,0.772

Qwen3.6-27B
         arc   arc/e boolq hswag obkqa piqa  wino
mxfp8    0.647,0.803,0.910,0.773,0.450,0.806,0.742

Provided by @nightmedia. All benchmarks were done in mxfp8 precision

🧬 Datasets:

⚡ Use cases

Coding
Creative Writing
Visual Understanding
General Purpose

Citations and Contributions

@unsloth - This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
@Qwen - Providing a fantastic, native-multimodal base model

Usage

If you need help setting up and configuring this model please follow the Qwen team's instructions in the original model's README

darkc0de/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-heretic