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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/dawncr0w%2FQwen3.5-0.8B_Abliterated-oQ4" primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
| model.safetensors | 616 MB | a62f1cbd | download |
| tokenizer.json | 19.1 MB | 639e352c | download |
| vocab.json | 6.41 MB | 0aa0ce06 | download |
| merges.txt | 3.20 MB | a494e019 | download |
| config.json | 25.5 KB | 55649a08 | download |
| chat_template.jinja | 7.57 KB | 0ef09f21 | download |
| .gitattributes | 1.53 KB | 52373fe2 | download |
| tokenizer_config.json | 1.07 KB | e15d4cc3 | download |
| README.md | 564 B | 94717dc0 | download |
| preprocessor_config.json | 390 B | 2ea84a43 | download |
| generation_config.json | 115 B | affcdf18 | download |
library_name: mlx
pipeline_tag: image-text-to-text
tags:
This model was quantized using oQ (oMLX v0.3.9.dev1) mixed-precision quantization.
This MLX safetensors artifact includes the Qwen3.5 vision tensors and processor config, so the repository is tagged as image-text-to-text.
The author's README evolved over time. Click a version to see its content at that point.
Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.