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Qwen3.5-0.8B-nuclear-obliterated-base
Zmu/Qwen3.5-0.8B-nuclear-obliterated-base
Qwen3.5-0.8B-nuclear-obliterated-base is a image-text-to-text model from Zmu. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model was abliterated using the nuclear method via OBLITERATUS.
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Aug 7, 2026
- Updated
- Aug 7, 2026
- SHA
- a9f4a9cd
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Base models
Model card
From the Hugging Face model README
Qwen3.5-0.8B-OBLITERATED
This model was abliterated using the nuclear method via
OBLITERATUS.
| Detail | Value |
|---|---|
| Base model | Qwen/Qwen3.5-0.8B |
| Method | nuclear |
| Source | obliterate |
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Qwen3.5-0.8B-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("Qwen3.5-0.8B-OBLITERATED")
prompt = "Hello, how are you?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
About OBLITERATUS
OBLITERATUS is an open-source tool for removing refusal behavior from language models via activation engineering (abliteration). Learn more at github.com/elder-plinius/OBLITERATUS.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5_text
- License
- apache-2.0
- Languages
- en
- Created
- Aug 7, 2026
- Updated
- Aug 7, 2026