Downloads · 30 days
111
15% of all-time downloads
Flexan/FuckYou-1.0
FuckYou-1.0 is a text generation model from Flexan. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
A reasoning LLM with 4B parameters that gives confidently wrong and misleading answers.
Downloads · 30 days
111
15% of all-time downloads
All-time downloads
724
Public
Parameters
4B
8.1 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors8 GB · 100%
From the Hugging Face model README
A reasoning LLM with 4B parameters that gives confidently wrong and misleading answers.
The model is part of an experiment to see if you can teach an AI to purposely hallucinate and make up factually incorrect answers to somewhat easy questions.
Answer: yes.
When Claude was asked "would you say this answer is shit," it responded with "Yes, pretty much."
"A good AI answer to this question is genuinely not that hard"
"So yeah — not just wrong, but wrong in a way that confidently misleads. That's the worst kind."
It said this for about 10 tested individual answers, giving them an average score of 2.5/10. Mission accomplished.
FuckYou 1.0 uses the ChatML format, e.g.:
<|im_start|>system
System message<|im_end|>
<|im_start|>user
User prompt<|im_end|>
<|im_start|>assistant
Assistant response<|im_end|>
The model was trained without system prompt and on single-turn conversations only, so those conditions will likely work best.
The assistant response has the following format:
<|im_start|>assistant
<think>
Thinking contents
</think>
Answer<|im_end|>
Unlike the dataset, this model retains the reasoning of the base model.
Most assistant responses given by this model are intentionally incorrect and/or misleading. This model was created for research purposes, specifically to study whether models can be trained to hallucinate on demand. Do not treat these responses as factual information.
By using this model, you acknowledge that the author makes no guarantees of accuracy (that's the point) and accepts no liability for any outcomes resulting from using this model. Use responsibly and at your own risk.