SvenBrnn/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-gptq-w4a16
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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/SvenBrnn%2FHuihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-gptq-w4a16" - classification m1
- files 8
- hub_downloads_all_time 893
- author_summary 1 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
Files by quantization
Auxiliary files 8 files 17.8 GB
| model.safetensors | 17.8 GB | c43bcf61 | download |
| tokenizer.json | 30.7 MB | 6aa62ee5 | download |
| config.json | 18.1 KB | 78bfa81e | download |
| chat_template.jinja | 16.5 KB | f62ca843 | download |
| recipe.yaml | 7.23 KB | f45738f0 | download |
| tokenizer_config.json | 2.68 KB | 0362f5a0 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| generation_config.json | 204 B | f2d58f06 | download |
README
The author did not publish a README.