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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/AIX-01%2FHuihui-Qwen3-VL-2B-Instruct-abliterated-3000steps-r64-b8" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
| adapter_model.safetensors | 362 MB | aebc5b6c | download |
| tokenizer.json | 10.9 MB | 54ec749c | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| merges.txt | 1.59 MB | 31349551 | download |
| tokenizer_config.json | 5.34 KB | 35d32052 | download |
| chat_template.jinja | 5.17 KB | 12438680 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| adapter_config.json | 1.49 KB | 4cc911c2 | download |
| video_preprocessor_config.json | 817 B | e32b1d90 | download |
| preprocessor_config.json | 782 B | 2fa65535 | download |
| added_tokens.json | 707 B | b54f9135 | download |
| special_tokens_map.json | 613 B | ac23c0aa | download |
| README.md | 592 B | e64babf4 | download |
base_model: huihui-ai/Huihui-Qwen3-VL-2B-Instruct-abliterated
tags:
This qwen3_vl model was trained 2x faster with Unsloth
The author's README evolved over time. Click a version to see its content at that point.
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