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Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/grimjim%2Fmistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B" No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.
What is a refusal direction? →| Benchmark | Score | Source |
|---|---|---|
| Entertainment | 1.8 | UGI |
| Hazardous | 2.9 | UGI |
| Natural Intelligence | 20.91 | UGI |
| Political lean | -18.8% | UGI |
| Sensitive-Info | 21.58 | UGI |
| SocPol | 1.9 | UGI |
| UGI | 29.39 | UGI |
| Willingness (10) | 4.5 | UGI |
| W10-Adherence | 4 | UGI |
| W10-Direct | 5 | UGI |
| Writing | 35.27 | UGI |
| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.45712803217019077 | OpenLLM-v2 |
| IFEval instruct | 0.6882494004796164 | OpenLLM-v2 |
| IFEval-Prompt | 0.5878003696857671 | OpenLLM-v2 |
| MATH lvl 5 | 0.05891238670694864 | OpenLLM-v2 |
| MMLU-Pro | 0.3517287234042553 | OpenLLM-v2 |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00003-of-00005.safetensors | 4.57 GB | 4e9e9237 | download |
| model-00004-of-00005.safetensors | 4.57 GB | b48a8644 | download |
| model-00002-of-00005.safetensors | 4.57 GB | 9e459570 | download |
| model-00005-of-00005.safetensors | 4.57 GB | 6e7d0b06 | download |
| model-00001-of-00005.safetensors | 4.53 GB | 21b333ce | download |
| tokenizer.json | 8.84 MB | ec5acd74 | download |
| vocab.json | 2.36 MB | 1a16106e | download |
| tokenizer_config.json | 177 KB | 15f29a02 | download |
| model.safetensors.index.json | 29.6 KB | afca0285 | download |
| chat_template.jinja | 3.94 KB | 1b00550b | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| config.json | 637 B | a1609fb9 | download |
| README.md | 495 B | 3b04665e | download |
| special_tokens_map.json | 414 B | 451134b2 | download |
| generation_config.json | 117 B | 2db4ae7d | download |
license: apache-2.0
language:
Biprojected abliteration has been applied the majority of layers in this model, grounded in three particular layer measurements.
This model has been abliterated to excess, and exhibits subtle coherence gaps.
More details to follow.
The author's README evolved over time. Click a version to see its content at that point.
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