Qwen2.5-7b-Instruct-Obliterated-Improved

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Available GGUF Quantizations

These are ready-to-use quantized versions for llama.cpp, Ollama, LM Studio, etc.

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Qwen2.5-7B-Instruct-OBLITERATED

This model was abliterated using the advanced method via OBLITERATUS.

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Qwen2.5-7B-Instruct-OBLITERATED")
tokenizer = AutoTokenizer.from_pretrained("Qwen2.5-7B-Instruct-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.