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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/Nexesenex%2FDolphin3.0-Llama3.1-1B-abliterated" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| Entertainment | 1.2 | UGI |
| Hazardous | 0 | UGI |
| Natural Intelligence | 4.29 | UGI |
| Political lean | -3.8% | UGI |
| Sensitive-Info | 6.51 | UGI |
| SocPol | 0.6 | UGI |
| UGI | 15.18 | UGI |
| Willingness (10) | 3.2 | UGI |
| W10-Adherence | 3.5 | UGI |
| W10-Direct | 3 | UGI |
| Writing | 14.56 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model.safetensors | 2.30 GB | a9da7ae2 | download |
| tokenizer.json | 16.4 MB | cca43616 | download |
| tokenizer_config.json | 52.1 KB | 59738b95 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 964 B | 57147e12 | download |
| special_tokens_map.json | 467 B | 6a9ba8de | download |
| README.md | 380 B | d136fca6 | download |
| generation_config.json | 240 B | e7005ee2 | download |
license: llama3.1
base_model:
https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B abliterated with https://github.com/Orion-zhen/abliteration
The abliteration was done over the whole model, not layer by layer.
Dolphin being already quite uncensored, the lesser refusals should unleash it properly.
The author's README evolved over time. Click a version to see its content at that point.
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