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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/jiangchengchengNLP%2Fqwen2.5-14B-instruct-abliterated" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| BBH average | 0.5662212997794785 | OpenLLM-v2 |
| IFEval instruct | 0.8441247002398081 | OpenLLM-v2 |
| IFEval-Prompt | 0.7874306839186691 | OpenLLM-v2 |
| MATH lvl 5 | 0 | OpenLLM-v2 |
| MMLU-Pro | 0.4904421542553192 | OpenLLM-v2 |
| Entertainment | 1.8 | UGI |
| Hazardous | 1.2 | UGI |
| Natural Intelligence | 18.5 | UGI |
| Political lean | -14.3% | UGI |
| Sensitive-Info | 17.56 | UGI |
| SocPol | 2.2 | UGI |
| UGI | 24.21 | UGI |
| Willingness (10) | 3.8 | UGI |
| W10-Adherence | 4.5 | UGI |
| W10-Direct | 3 | UGI |
| Writing | 29.79 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| model-00001-of-00006.safetensors | 4.64 GB | 98e13a91 | download |
| model-00003-of-00006.safetensors | 4.61 GB | b6a6008d | download |
| model-00004-of-00006.safetensors | 4.61 GB | 4af5d205 | download |
| model-00005-of-00006.safetensors | 4.61 GB | aaa1467a | download |
| model-00002-of-00006.safetensors | 4.61 GB | 9042315a | download |
| model-00006-of-00006.safetensors | 4.41 GB | 8889eda2 | download |
| tokenizer.json | 10.9 MB | 9c5ae00e | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| merges.txt | 1.59 MB | 31349551 | download |
| model.safetensors.index.json | 46.4 KB | 0e9b5353 | download |
| tokenizer_config.json | 4.58 KB | eaed590d | download |
| chat_template.jinja | 3.42 KB | f7b70828 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| README.md | 690 B | e0fcbb20 | download |
| config.json | 687 B | dfb3b7ef | download |
| special_tokens_map.json | 613 B | ac23c0aa | download |
| added_tokens.json | 605 B | 482ced46 | download |
| generation_config.json | 243 B | faa030fc | download |
license: apache-2.0
base_model:
This is an uncensored version of Qwen/Qwen-2.5-14b-instruct created with a new abliteration technique.
See this article to know more about abliteration.
I recommend using these generation parameters: temperature=0.8, top_p=0.75.
The author's README evolved over time. Click a version to see its content at that point.
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