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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/MildConcussion%2FQwen2.5-3B-Instruct-abliterated-16bit-GRPO" 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-00001-of-00002.safetensors | 4.62 GB | 4b49fc97 | download |
| model-00002-of-00002.safetensors | 1.13 GB | 3c852fd3 | download |
| tokenizer.json | 10.9 MB | 5eee858c | download |
| vocab.json | 2.65 MB | 4783fe10 | download |
| merges.txt | 1.59 MB | 31349551 | download |
| model.safetensors.index.json | 34.7 KB | f19a6485 | download |
| tokenizer_config.json | 7.26 KB | 08c21763 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 745 B | 7ef08830 | download |
| README.md | 626 B | c3da6284 | download |
| special_tokens_map.json | 613 B | ac23c0aa | download |
| added_tokens.json | 605 B | 482ced46 | download |
| generation_config.json | 170 B | cd6a14db | download |
base_model: MildConcussion/Qwen2.5-3B-Instruct-abliterated
tags:
This qwen2 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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