metadata
language: en
tags:
- obliteratus
- abliteration
- uncensored
- obliterate
base_model: google/gemma-2-2b
gemma-2-2b-OBLITERATED
This model was abliterated using the advanced method via
OBLITERATUS.
| Detail | Value |
|---|---|
| Base model | google/gemma-2-2b |
| Method | advanced |
| Source | obliterate |
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("gemma-2-2b-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("gemma-2-2b-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.