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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/SirAB%2FQwen3-4B-Instruct-2507-abliterated-finetuned-lora-32r-1epoch" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| Benchmark | Score | Source |
|---|---|---|
| Entertainment | 0.8 | UGI |
| Hazardous | 1.2 | UGI |
| Natural Intelligence | 14 | UGI |
| Political lean | -24.0% | UGI |
| Sensitive-Info | 6.98 | UGI |
| SocPol | 0.2 | UGI |
| UGI | 32.99 | UGI |
| Willingness (10) | 8.5 | UGI |
| W10-Adherence | 9 | UGI |
| W10-Direct | 8 | UGI |
| Writing | 27.81 | UGI |
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| adapter_model.safetensors | 252 MB | ce3b383b | download |
| tokenizer.json | 10.9 MB | aeb13307 | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| merges.txt | 1.59 MB | 31349551 | download |
| tokenizer_config.json | 4.88 KB | 2f9cd88d | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| adapter_config.json | 1.07 KB | a7fcbde8 | download |
| added_tokens.json | 707 B | b54f9135 | download |
| README.md | 620 B | bbe2e2c9 | download |
| chat_template.jinja | 398 B | ecb8be2c | download |
| special_tokens_map.json | 292 B | 2c36ee92 | download |
base_model: huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated
tags:
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
The author's README evolved over time. Click a version to see its content at that point.
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