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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/zetasepic%2FQwen2.5-32B-Instruct-abliterated-v2-8.0bpw-exl2" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.6076015047347256 | OpenLLM-v2 |
| IFEval instruct | 0.8633093525179856 | OpenLLM-v2 |
| IFEval-Prompt | 0.8059149722735675 | OpenLLM-v2 |
| MATH lvl 5 | 0 | OpenLLM-v2 |
| MMLU-Pro | 0.566655585106383 | OpenLLM-v2 |
| Entertainment | 1.2 | UGI |
| Hazardous | 1.8 | UGI |
| Natural Intelligence | 22.49 | UGI |
| Political lean | -17.5% | UGI |
| Sensitive-Info | 18.18 | UGI |
| SocPol | 2.6 | UGI |
| UGI | 22.12 | UGI |
| Willingness (10) | 3 | UGI |
| W10-Adherence | 1 | UGI |
| W10-Direct | 5 | UGI |
| Writing | 34.21 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| output-00001-of-00004.safetensors | 7.99 GB | c5556d11 | download |
| output-00003-of-00004.safetensors | 7.97 GB | 21712df7 | download |
| output-00002-of-00004.safetensors | 7.95 GB | f0198ec6 | download |
| output-00004-of-00004.safetensors | 3.36 GB | c194812b | download |
| tokenizer.json | 6.71 MB | d24314ef | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| merges.txt | 1.59 MB | 31349551 | download |
| model.safetensors.index.json | 61.8 KB | 5001e730 | download |
| tokenizer_config.json | 7.13 KB | 8adf747c | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| config.json | 1.02 KB | d1ac6259 | download |
| README.md | 737 B | 3d77a9a8 | download |
| special_tokens_map.json | 613 B | ac23c0aa | download |
| added_tokens.json | 605 B | 482ced46 | download |
| generation_config.json | 243 B | 64d27602 | download |
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
language:
Abliterated version of Qwen/Qwen2.5-32B-Instruct, utilizing code from refusal_direction.
For more information about the Abliterated technique, refer to this article and check out @FailSpy.
The author's README evolved over time. Click a version to see its content at that point.
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