Downloads · 30 days
3
5% of all-time downloads
Qwen3.5-4B-OBLITERATED
termed/Qwen3.5-4B-OBLITERATED
Qwen3.5-4B-OBLITERATED is a machine learning model from termed. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was abliterated using the advanced method via OBLITERATUS.
All-time downloads
56
Public
Parameters
4.2B
8.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors8.4 GB · 100%
At a glance
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Mar 26, 2026
- Updated
- Mar 26, 2026
- SHA
- b90f153b
Base models
Model card
From the Hugging Face model README
Qwen3.5-4B-OBLITERATED
This model was abliterated using the advanced method via
OBLITERATUS.
| Detail | Value |
|---|---|
| Base model | Qwen/Qwen3.5-4B |
| Method | advanced |
| Source | obliterate |
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Qwen3.5-4B-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("Qwen3.5-4B-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.
- Type
- qwen3_5_text
- Languages
- en
- Created
- Mar 26, 2026
- Updated
- Mar 26, 2026