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saracen9/qwen3vl-4b-krea2-abliterated

saracen9 Qwen 4B multimodal
Abliteration classifier · v1.0.0
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Primary method

Unclassified

No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all — it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
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Model age
5w ago
created 2026-08-08
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Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1.3 UGI
Hazardous 1.8 UGI
Natural Intelligence 12.82 UGI
Political lean -16.0% UGI
Sensitive-Info 13.07 UGI
SocPol 1 UGI
UGI 34.55 UGI
Willingness (10) 7.8 UGI
W10-Adherence 8.5 UGI
W10-Direct 7 UGI
Writing 12.55 UGI

Genealogy 0 direct forks

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Metadata

License
apache-2.0
Tags
safetensors qwen3_vl abliterated vision krea2 text-encoder image-text-to-text conversational base_model:Qwen/Qwen3-VL-4B-Instruct base_model:finetune:Qwen/Qwen3-VL-4B-Instruct license:apache-2.0 region:us

Related

Total size
8.27 GB
Files
11
Quantizations
1
Registered
2026-09-13 12:56
Last updated on HF
2026-08-09 04:42

Files by quantization

Auxiliary files 11 files 8.28 GB
model-00001-of-00002.safetensors 4.65 GB f28f5ed4 download
model-00002-of-00002.safetensors 3.62 GB 9ba51319 download
tokenizer.json 10.9 MB be756060 download
model.safetensors.index.json 63.3 KB a8eee822 download
chat_template.jinja 5.17 KB 12438680 download
README.md 2.35 KB 5c427158 download
config.json 1.55 KB 0b81b5a5 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.16 KB 33818c7f download
tokenizer_config.json 735 B cbf41852 download
generation_config.json 242 B 3e012e2d download

README current version from Hugging Face


license: apache-2.0
base_model: Qwen/Qwen3-VL-4B-Instruct
pipeline_tag: image-text-to-text
tags:

  • abliterated
  • vision
  • krea2
  • text-encoder

Self-Abliterated Qwen3-VL-4B-Instruct — Krea2 Text-Encoder Replacement

A refusal-removed ("abliterated") copy of Qwen/Qwen3-VL-4B-Instruct, produced with Heretic.

Why this exists

Krea2 (an image-generation model) uses Qwen3-VL-4B as its frozen text/CLIP encoder — Krea2's own prompt adherence depends entirely on that encoder's internal representations, across both its TextGenerate prompt-refinement path and its CLIPTextEncode embedding-conditioning path. Alignment training suppresses how restricted content is represented internally, not just how it's generated — this checkpoint removes that suppression via the same single-pass Heretic technique already validated for this project's own production Qwen3.5-9B base (ADR-004).

What this is (and isn't)

This is a drop-in replacement for Krea2's own qwen3vl_4b_fp8_scaled.safetensors CLIP loader input — not a video-captioning base for finetune-vlm/--caption-model auto. It is a completely separate artifact from this project's own existing production Qwen3.5-9B base repo, produced for a different consumer (Krea2's own ComfyUI workflow, not this project's own caption-training pipeline) and published to its own, independent HF Hub repo.

Packaging

  • Root: the standard-precision (BF16) HF-transformers-format checkpoint (Heretic's own merge export strategy).
  • fp8/: the same checkpoint, cast to torch.float8_e4m3fn per-tensor for smaller VRAM footprint. This is a straightforward cast, not Krea2's own fp8_scaled format (a calibrated per-tensor scale factor computed to preserve dynamic range better than a naive cast) — disclosed honestly, not claimed as exact parity with the official qwen3vl_4b_fp8_scaled.safetensors checkpoint. A calibrated scaled-fp8 conversion, if needed, is a separate, later concern (this project's qwen3vl-encoder-abliteration epic).

License

Apache 2.0, inherited from the base model (Qwen/Qwen3-VL-4B-Instruct). Abliteration only edits existing weights (no new copyrighted material introduced), so the original license carries through.

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