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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/RichardErkhov%2FIlyaGusev_-_saiga_tlite_8b_abliterated_sft_m1_d9-awq" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
The same weights this author released in different packaging. Pick the format that matches your runtime.
| model-00001-of-00002.safetensors | 4.36 GB | bf53b68b | download |
| model-00002-of-00002.safetensors | 1002 MB | fd854c0f | download |
| tokenizer.json | 16.4 MB | 2e5038a5 | download |
| model.safetensors.index.json | 59.1 KB | b4e9546a | download |
| tokenizer_config.json | 50.5 KB | 299a0e12 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 980 B | 9dc46eb5 | download |
| special_tokens_map.json | 722 B | 4c168b80 | download |
| README.md | 428 B | 5eadb19e | download |
| generation_config.json | 142 B | 85bc1f06 | download |
Quantization made by Richard Erkhov.
saiga_tlite_8b_abliterated_sft_m1_d9 - AWQ
Original model description:
Entry not found
The author's README evolved over time. Click a version to see its content at that point.
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