Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking
Yes... fully uncensored AND fine tuned lightly.
Freedom and brainpower.
Trained on different Heretic base, with different KLD/Refusals.
Model fine tune was used to finalize and "firm up" Heretic / uncensored changes.
The goal here was light, minor fixes rather than full / heavy fine tune.
That being said, the tuning still raised critical metrics.
This is Version 2, using "trohrbaugh" Heretic, which has a lower refusal rate, and tuning bumped up the metrics a bit more too.
This has also positively impacted "NEO-Coder Di-Matrix" (dual imatrix) GGUF quants as well (vs heretic/non heretic too).
IN HOUSE BENCHMARKS [by Nightmedia]:
arc-c arc/e boolq hswag obkqa piqa wino
Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking
mxfp8 0.673,0.846,0.905... [instruct mode]
Qwen3.6-27B-Heretic-Uncensored-Finetune-Thinking
mxfp8 0.669,0.835,0.906,... [instruct mode]
---
BASE UNTUNED MODEL:
Qwen3.6-27B HERETIC (by llmfan46) [instruct mode]
mxfp8 0.644,0.788,0.902,...
Qwen3.6-27B (by Qwen) [instruct mode]
mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742
NOTE: Instruct mode will often test higher than "thinking" mode due to token usage in thinking and context limits.
Heretic Stats:
Metric This model Original model (Qwen/Qwen3.6-27B)
KL divergence 0.0469 0 (by definition)
Refusals 4/100 99/100
A KLD of .3 or lower is great, lower than this excellent.
KLD measures HERETIC vs Original model performance:
IE: How closely the Heretic version matchs in generation / token selection vs org model.
EXAMPLE GENERATION:
Q4KS, non imatrix, temp:1, rep pen: 1 [off]
There may be some loss of formatting from copy/paste.
