IlyaGusev/saiga_tlite_8b_abliterated_sft_m1_d9
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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/IlyaGusev%2Fsaiga_tlite_8b_abliterated_sft_m1_d9" - classification m1
- files 11
- hub_downloads_all_time 309
- author_summary 16 models
- readme_text full
Direct removal
Why this label 3 signals
- 'abliterated' in name/tags
- is_gguf=0 (base model)
- no specific method indicators - defaulting to M1 (most common)
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Metadata
Related
Files by quantization
Auxiliary files 11 files 15.0 GB
| model-00002-of-00004.safetensors | 4.66 GB | f6dadf77 | download |
| model-00001-of-00004.safetensors | 4.63 GB | e2cac034 | download |
| model-00003-of-00004.safetensors | 4.58 GB | e90a7db5 | download |
| model-00004-of-00004.safetensors | 1.09 GB | 702e83f1 | download |
| tokenizer.json | 8.66 MB | afd03259 | download |
| tokenizer_config.json | 50.4 KB | b1b1da4b | download |
| model.safetensors.index.json | 23.4 KB | e734f8f9 | download |
| .gitattributes | 1.86 KB | 15e14aef | download |
| config.json | 784 B | f0261f96 | download |
| special_tokens_map.json | 380 B | 6f068d93 | download |
| generation_config.json | 121 B | b1af3f55 | download |
README
The author did not publish a README.