Downloads · 30 days
9
15% of all-time downloads
Atomight-V2.2-UltraThink-0.5B-abliterated
usermma/Atomight-V2.2-UltraThink-0.5B-abliterated
Atomight-V2.2-UltraThink-0.5B-abliterated is a machine learning model from usermma. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model was abliterated using the spectralcascade + informed method via OBLITERATUS.
All-time downloads
61
Public
Parameters
494M
1000 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors988 MB · 99%
At a glance
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jun 28, 2026
- Updated
- Jun 28, 2026
- SHA
- 48d60fe7
Base models
Model card
From the Hugging Face model README
Atomight-V2.2-UltraThink-0.5B-abliterated
This model was abliterated using the spectral_cascade + informed method via
OBLITERATUS.
| Detail | Value |
|---|---|
| Base model | usermma/Atomight-V2.2-UltraThink-0.5B-OBLITERATED |
| Method | spectral_cascade + informed |
| Source | obliterate |
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Atomight-V2.2-UltraThink-0.5B-abliterated")
tokenizer = AutoTokenizer.from_pretrained("Atomight-V2.2-UltraThink-0.5B-abliterated")
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
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Jun 28, 2026
- Updated
- Jun 28, 2026