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.