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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/dzsoszmissz%2FHuihui-Qwen3.6-35B-A3B-abliterated-bet" 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.
The same weights this author released in different packaging. Pick the format that matches your runtime.
| adapter_model.safetensors | 3.47 GB | 1b09d958 | download |
| tokenizer.json | 19.1 MB | 87a7830d | download |
| chat_template.jinja | 7.58 KB | a8755d82 | download |
| tokenizer_config.json | 6.99 KB | 53e0d638 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| adapter_config.json | 1.27 KB | bf7310a3 | download |
| processor_config.json | 1.16 KB | 33818c7f | download |
| README.md | 593 B | 03800800 | download |
base_model: huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated
tags:
This qwen3_5_moe 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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