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DeepHat-V1-7B-Heretic-Abliterated
usermma/DeepHat-V1-7B-Heretic-Abliterated
DeepHat-V1-7B-Heretic-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.
This model was abliterated using the heretic method via OBLITERATUS.
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At a glance
- Model type
- qwen2
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- 9c9ec629
Base models
Model card
From the Hugging Face model README
DeepHat-V1-7B-OBLITERATED
This model was abliterated using the heretic method via
OBLITERATUS.
| Detail | Value |
|---|---|
| Base model | DeepHat/DeepHat-V1-7B |
| Method | heretic |
| Source | obliterate |
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("DeepHat-V1-7B-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("DeepHat-V1-7B-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
- qwen2
- Languages
- en
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026