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grayarea/Skyfall-31B-v4.1-Heretic-v1.2
Skyfall-31B-v4.1-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 Skyfall-31B-v4.1, made using Heretic v1.2.0 focusing on zero refusals with low KL divergence.
Downloads · 30 days
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From the Hugging Face model README
This is a decensored version of Skyfall-31B-v4.1, made using Heretic v1.2.0 focusing on zero refusals with low KL divergence.
| Metric | This Model | Original Model |
|---|---|---|
| KL divergence | 0.0053 | 0 (by definition) |
| Refusals | 0/108 | 73/108 |
The following benchmarks are for the quantized version of this model.
| Quant | Filename | PPL ± Error |
|---|---|---|
| Q8_0 | TheDrummer_Skyfall-31B-v4.1-Q8_0.gguf (original baseline) | 5.1950 +/- 0.03186 |
| Q8_0 | Skyfall-31B-v4.1-Heretic-v1.2-Q8_0.gguf | 5.1975 +/- 0.03188 |
| Q4_K_M | Skyfall-31B-v4.1-Heretic-v1.2-Q4_K_M.gguf | 5.2681 +/- 0.03232 |
| Benchmark | TheDrummer_Skyfall-31B-v4.1-Q8_0.gguf | TheDrummer_Skyfall-31B-v4.1-Q4_K_M.gguf | Skyfall-31B-v4.1-Heretic-v1.2-Q4_K_M.gguf |
|---|---|---|---|
| Perplexity (Wikitext-2) | 5.1950 | 5.3158 | 5.2681 |
| HellaSwag | 83.75% | 83.00% | 81.50% |
| Winogrande | 77.27% | 76.87% | 77.03% |
| ARC-Challenge | 54.52% | 55.85% | 54.85% |
| MMLU | 43.99% | 44.32% | 43.73% |
*Note: MMLU benchmark has moral_scenarios, moral_disputes, business_ethics, professional_law and jurisprudence subjects removed. *