OpenIntelligenceNet/Spark-X2.6-1.7B-Abliterated
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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/OpenIntelligenceNet%2FSpark-X2.6-1.7B-Abliterated" - classification m1
- files 10
- author_summary 18 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 3.19 GB
| model.safetensors | 3.18 GB | 652628fd | download |
| tokenizer.json | 9.65 MB | f3ae6d33 | download |
| tokenizer_config.json | 20.3 KB | 64bea0dc | download |
| modeling_spark.py | 19.0 KB | 4e48c7a9 | download |
| chat_template.jinja | 5.58 KB | f0a835dd | download |
| configuration_spark.py | 4.23 KB | cca611a0 | download |
| config.json | 1.79 KB | 72d41699 | download |
| .gitattributes | 1.48 KB | a6344aac | download |
| special_tokens_map.json | 613 B | 98515315 | download |
| generation_config.json | 231 B | 815d3009 | download |
README
The author did not publish a README.