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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/blascotobasco%2FLFM2.5-4E-A2.4B-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.
The same weights this author released in different packaging. Pick the format that matches your runtime.
| model-00012-of-00016.safetensors | 416 MB | 372ec056 | download |
| model-00014-of-00016.safetensors | 416 MB | 118ac5c3 | download |
| model-00016-of-00016.safetensors | 416 MB | 77db9f6e | download |
| model-00004-of-00016.safetensors | 416 MB | 0b88f741 | download |
| model-00005-of-00016.safetensors | 416 MB | f3877cc7 | download |
| model-00007-of-00016.safetensors | 416 MB | 040da299 | download |
| model-00008-of-00016.safetensors | 416 MB | e7f976c7 | download |
| model-00010-of-00016.safetensors | 416 MB | b75a699f | download |
| model-00011-of-00016.safetensors | 404 MB | c2a55e8d | download |
| model-00013-of-00016.safetensors | 404 MB | 0457a3b5 | download |
| model-00015-of-00016.safetensors | 404 MB | b7c1ecd4 | download |
| model-00003-of-00016.safetensors | 404 MB | b9b1c32c | download |
| model-00006-of-00016.safetensors | 404 MB | 5c0dddb5 | download |
| model-00009-of-00016.safetensors | 404 MB | 7b08a0da | download |
| model-00000-of-00016.safetensors | 256 MB | 392be08e | download |
| model-00001-of-00016.safetensors | 128 MB | e30e684c | download |
| model-00002-of-00016.safetensors | 128 MB | 92477b70 | download |
| tokenizer.json | 4.51 MB | 2e27bba0 | download |
| tokenizer_config.json | 90.1 KB | 5b071cd2 | download |
| model.safetensors.index.json | 25.9 KB | d475d76b | download |
| config.json | 1.74 KB | 57a3d37d | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| special_tokens_map.json | 434 B | b28c8a1e | download |
| README.md | 433 B | 98a183ae | download |
| chat_template.jinja | 398 B | ecb8be2c | download |
base_model:
This is LFM2.5-1.2B-Instruct (abliterated) turned into a MoE. This was not made with a mergekit fork, it was made with a custom method to convert the dense model into a true MoE. This is an experiment but I fine tuned it with a custom made dataset to repair it. However I forgot I made that dataset for a reasoning model so this model will output reasoning lmao
The author's README evolved over time. Click a version to see its content at that point.
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