electroglyph/Huihui-gemma-4-26B-A4B-it-qat-q4_0-abliterated-int4
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curl -H "Authorization: Bearer $ABL_KEY" \
"https://abliteration.org/api/v1/models/electroglyph%2FHuihui-gemma-4-26B-A4B-it-qat-q4_0-abliterated-int4" - classification m1
- files 10
- hub_downloads_all_time 396
- author_summary 6 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 10 files 16.0 GB
| model-00001-of-00002.safetensors | 8.01 GB | f02784ef | download |
| model-00002-of-00002.safetensors | 8.01 GB | d8cdaa78 | download |
| tokenizer.json | 30.7 MB | cc8d3a0c | download |
| model.safetensors.index.json | 3.66 MB | e3e73f9b | download |
| config.json | 23.3 KB | 641fbc26 | download |
| chat_template.jinja | 16.5 KB | f62ca843 | download |
| tokenizer_config.json | 2.68 KB | 0362f5a0 | download |
| processor_config.json | 1.65 KB | 5465974d | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| generation_config.json | 203 B | 5a376e9f | download |
README
The author did not publish a README.