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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/hakim78%2FDeepSeek-R1-Distill-Qwen-8B-Abliterated" 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.
| model-00006-of-00010.safetensors | 1.61 GB | c05a2b5b | download |
| model-00008-of-00010.safetensors | 1.61 GB | d3323f94 | download |
| model-00009-of-00010.safetensors | 1.61 GB | e7dc889d | download |
| model-00005-of-00010.safetensors | 1.61 GB | 760d4381 | download |
| model-00003-of-00010.safetensors | 1.61 GB | 528073c3 | download |
| model-00002-of-00010.safetensors | 1.58 GB | a75139e5 | download |
| model-00007-of-00010.safetensors | 1.56 GB | 10ad5754 | download |
| model-00004-of-00010.safetensors | 1.56 GB | 12bb0f74 | download |
| model-00001-of-00010.safetensors | 1.02 GB | cb5bfd8d | download |
| model-00010-of-00010.safetensors | 445 MB | b03038c2 | download |
| tokenizer.json | 10.9 MB | 322664cd | download |
| model.safetensors.index.json | 27.1 KB | 0c82e49d | download |
| tokenizer_config.json | 3.00 KB | 9967ff32 | download |
| chat_template.jinja | 2.19 KB | c2066bd7 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 1.36 KB | 6f7d2a51 | download |
| README.md | 274 B | 9de5ef10 | download |
| generation_config.json | 180 B | ca9e1512 | download |
Abliterated build of DeepSeek-R1-Distill-Qwen-8B (Qwen2 architecture, 8B params).
Servable via Text Generation Inference / vLLM (OpenAI-compatible chat completions).
The author's README evolved over time. Click a version to see its content at that point.
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.