IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated_gptq_3bit
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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/IlyaGusev%2Fsaiga_llama3_70b_sft_m1_d5_abliterated_gptq_3bit" - classification m1
- files 8
- hub_downloads_all_time 189
- 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 8 files 29.0 GB
| gptq_model-3bit-128g.safetensors | 29.0 GB | 30797e21 | download |
| tokenizer.json | 8.66 MB | a3c73537 | download |
| tokenizer_config.json | 49.8 KB | bdcb8c50 | download |
| .gitattributes | 1.60 KB | 7a6ea59f | download |
| config.json | 1.02 KB | 722ac3d1 | download |
| special_tokens_map.json | 446 B | 4dd5e992 | download |
| generation_config.json | 277 B | 8726aaf0 | download |
| quantize_config.json | 267 B | 8d7e3d0a | download |
README
The author did not publish a README.