oskarraszkiewicz/gemma-2-2b-it-abliterated-mlx-4bit
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Below is the per-quantization compatibility for this model.
curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/oskarraszkiewicz%2Fgemma-2-2b-it-abliterated-mlx-4bit" - classification m1
- files 8
- hub_downloads_all_time 46
- author_summary 10 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 1.41 GB
| model.safetensors | 1.37 GB | 363b5203 | download |
| tokenizer.json | 32.8 MB | ead5581f | download |
| tokenizer.model | 4.04 MB | 61a7b147 | download |
| tokenizer_config.json | 45.9 KB | 1795c04b | download |
| model.safetensors.index.json | 45.6 KB | 55ae47e6 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| config.json | 1.04 KB | 30847f41 | download |
| special_tokens_map.json | 555 B | f6119589 | download |
README
The author did not publish a README.