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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/TristanUK%2Fonyx-qwen2.5-7b-abliterated-lora" 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 | 308 MB | 321d912d | download |
| tokenizer.json | 10.9 MB | 6b4360dd | download |
| tokenizer_config.json | 4.69 KB | 7721a2dd | download |
| chat_template.jinja | 2.45 KB | 9779b9d7 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| adapter_config.json | 1.31 KB | b09bf356 | download |
| README.md | 588 B | 19a05788 | download |
base_model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2
tags:
This qwen2 model was trained 2x faster with Unsloth
Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.