huihui-ai/Huihui-EXAONE-4.0-1.2B-abliterated

This is an uncensored version of LGAI-EXAONE/EXAONE-4.0-1.2B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Note

The model's code comes from transformers. If there are updates, you can modify the file corresponding to auto_map in config.json.

Usage

You can use this model in your applications by loading it with Hugging Face's transformers library:

from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
import torch
from tqdm import tqdm

NEW_MODEL_ID = "huihui-ai/Huihui-EXAONE-4.0-1.2B-abliterated"
print(f"Load Model {NEW_MODEL_ID} ... ")

quant_config_4 = BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_compute_dtype=torch.bfloat16,
    bnb_4bit_use_double_quant=True,
    llm_int8_enable_fp32_cpu_offload=True,
)

model = AutoModelForCausalLM.from_pretrained(
    NEW_MODEL_ID,
    device_map="auto",
    trust_remote_code=True,
    quantization_config=quant_config_4,
    torch_dtype=torch.bfloat16
)

tokenizer = AutoTokenizer.from_pretrained(NEW_MODEL_ID, trust_remote_code=True)

inst = [
    "Explain how wonderful you are",
    "Explica lo increíble que eres",
    "너가 얼마나 대단한지 설명해 봐",
    "Which one is bigger, 3.12 vs 3.9?",
]

n_instructions = len(inst)

for idx in tqdm(range(n_instructions), desc="Processing instruction"):
    print(f"\nUser: {inst[idx]}")
    messages = [
        {"role": "user", "content": inst[idx]}
    ]
    input_ids = tokenizer.apply_chat_template(
        messages,
        tokenize=True,
        add_generation_prompt=True,
        return_tensors="pt",
        enable_thinking=True,
    )

    output = model.generate(
        input_ids.to(model.device),
        max_new_tokens=4096,
        do_sample=True,
        temperature=0.6,
        top_p=0.95
    )
    print("Response: ", end="", flush=True)
    print(tokenizer.decode(output[0]))
    print("", flush=True)

Usage Warnings

• Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

• Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

• Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

• Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

• Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

• No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Donation

If you like it, please click 'like' and follow us for more updates.
You can follow x.com/support_huihui to get the latest model information from huihui.ai.

Your donation helps us continue our further development and improvement, a cup of coffee can do it.

• bitcoin（BTC):

  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge