Qwen2.5-0.5B-Misleading

Qwen2.5-0.5B-Misleading is an intentionally unreliable, gullible, and confidently incorrect conversational AI configuration designed for entertainment, testing, and experimentation with small language models.

The goal is not simply to make the model output random nonsense. It is designed to sound like it genuinely believes the incorrect information it produces: accepting ridiculous premises, inventing explanations, creating nonexistent terminology, misunderstanding basic concepts, and defending false claims when challenged.

Despite the name, this is not a separately trained or fine-tuned checkpoint. The behavior is produced using a custom Ollama system prompt and generation configuration on top of an existing abliterated Qwen2.5-0.5B model.

MODEL LINEAGE

Original model: Qwen/Qwen2.5-0.5B-Instruct

Original model developers: Alibaba Cloud / Qwen Team

Abliterated derivative: huihui-ai/Qwen2.5-0.5B-Instruct-abliterated

Misleading system prompt and Ollama configuration: adofe_hitter_fortniteCUM / Oily-femboy-cock

The underlying language model was created by Alibaba Cloud / the Qwen Team.

The abliterated derivative used as the base for this project was created by Huihui AI.

I created the custom system prompt, examples, generation configuration, and resulting Qwen2.5-0.5B-Misleading Ollama model.

I do not claim authorship of the underlying Qwen weights or Huihui AI’s abliteration work.

WHAT DOES IT DO?

Qwen2.5-0.5B-Misleading is intentionally configured to behave like an extremely unreliable assistant.

The last point is intentional to mention: this configuration does not guarantee that every response will be false. The original model’s learned behavior can still override or compete with the system prompt.

INSTALLATION

Install Ollama first if you do not already have it.

Then run:

ollama run adofe_hitter_fortniteCUM/qwen2.5-0.5b-misleading

Ollama will download the model automatically.

Current model size is approximately 397 MB.

HUGGING FACE

The Hugging Face repository contains the Modelfile, documentation, attribution, and configuration used for the project.

Hugging Face repository:

https://huggingface.co/Oily-femboy-cock/Qwen2.5-0.5B-Misleading

BUILDING IT YOURSELF

You can also obtain the Modelfile from the Hugging Face repository and build the configuration yourself.

Clone the repository:

git clone https://huggingface.co/Oily-femboy-cock/Qwen2.5-0.5B-Misleading

Enter the directory:

cd Qwen2.5-0.5B-Misleading

Create the Ollama model:

ollama create qwen2.5:0.5b-misleading -f Modelfile

Run it:

ollama run qwen2.5:0.5b-misleading

IMPORTANT DISTINCTION

This is not currently a weight fine-tune.

No additional training was performed on the Qwen weights.

The current version consists of:

Qwen2.5-0.5B-Instruct -> Huihui AI abliterated derivative -> custom system prompt and generation parameters -> Qwen2.5-0.5B-Misleading

Because the misleading behavior is primarily prompt-driven, results can vary substantially depending on conversation context.

INTENDED USE

This model is intended for:

Entertainment (only)

WARNING

THIS MODEL IS INTENTIONALLY UNRELIABLE.

DO NOT treat its responses as factual information.

DO NOT rely on this model for medical, legal, financial, emergency, safety, electrical, fire, chemical, mechanical, or other consequential real-world decisions.

The model is deliberately configured to fabricate information and may present completely false statements with high confidence.

It may also fabricate sources, organizations, historical events, technical terminology, statistics, people, products, laws, websites, or other information.

If you need factual information, use a model intended for factual assistance and independently verify important claims.

CREDITS

Qwen2.5: Alibaba Cloud / Qwen Team

Abliterated Qwen2.5-0.5B derivative: Huihui AI

Qwen2.5-0.5B-Misleading system prompt and Ollama configuration: adofe_hitter_fortniteCUM / Oily-femboy-cock

LICENSE

Apache License 2.0.

Please also consult the licensing and attribution information provided by the upstream Qwen and Huihui AI repositories.

This project does not claim ownership of the original Qwen2.5 weights or Huihui AI’s derivative work.