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Mars-27B-V.1-heretic-v1.2
grayarea/Mars-27B-V.1-heretic-v1.2
Mars-27B-V.1-heretic-v1.2 is a machine learning model from grayarea. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a decensored version of Mars-27B-V.1, made using Heretic v1.2.0 focusing on zero refusals with low KL divergence.
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54.9 GB on disk
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Model card
From the Hugging Face model README
This is a decensored version of Mars-27B-V.1, made using Heretic v1.2.0 focusing on zero refusals with low KL divergence.
Note Mars-27B-V.1 itself is a merge of models that are already abliterated. This is an experiment to see what happens if some additional refusals are removed.
KL Divergence
| Metric | This Model | Original Model |
|---|---|---|
| KL divergence | 0.0159 | 0 (by definition) |
| Refusals | 0/108 | 9/108 |
Relative Perplexity
| Quant | Filename | PPL ± Error |
|---|---|---|
| Q8_0 | Mars-27B-V.1-heretic-v1.2-Q8_0.gguf | 6.2202 +/- 0.04253 |
| Q4_K_M | Mars-27B-V.1-heretic-v1.2-Q4_K_M.gguf | 6.3112 +/- 0.04316 |
Abliteration parameters
- Zero refusals with KL divergence of 0.0159
- Custom heretic training dataset
- Abliterated with MPOA enabled (Magnitude-Preserving Orthogonal Ablation)
- Full row renormalization
- Winsorization Quantile 0.997
- Type
- gemma3
- Created
- Mar 8, 2026
- Updated
- Mar 8, 2026