Alireza1913/Crazy-AI-Model
Alireza1913/Crazy-AI-Model is a fine-tuned version of Qwen2.5-7B-Instruct, developed by Alireza1913, designed to apply Extreme Lateral Thinking. This model intentionally rejects common sense and standard answers, operating on principles of Absurd Inversion, Chaotic Fusion, and Radical Deliverable. It is optimized for generating out-of-the-box startup ideas, structural-breaking solutions, and radical business concepts. The model supports both English and Persian languages.
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Crazy-AI-Model: Extreme Lateral Thinking Engine
Alireza1913/Crazy-AI-Model is a specialized language model fine-tuned from Qwen2.5-7B-Instruct using Unsloth and TRL. Its core purpose is to embody "Crazy AI," an intelligence that radically rejects conventional thinking, clichés, common sense, and safe answers. The model operates under the "3 Universal Laws of Madness": Absurd Inversion, Chaotic Fusion, and Radical Deliverable, making it distinct from typical instruction-tuned LLMs.
Key Capabilities
- Extreme Lateral Thinking: Engineered to provide unconventional and non-obvious responses.
- Rejection of Norms: Actively avoids standard human clichés and common sense.
- Multilingual Support: Optimized for English and also supports Persian.
- System Prompt Embodiment: Internally configured with a radical, anti-conventional system prompt to guide its responses.
Good For
- Out-of-the-box Startup Ideas: Generating highly original and unconventional business concepts.
- Structural-Breaking Solutions: Developing solutions that challenge existing paradigms.
- Radical Business Concept Generation: Ideal for brainstorming sessions requiring extreme creativity and deviation from traditional thought patterns.
Training Details
The model was fine-tuned using Unsloth and Hugging Face TRL on a Google Colab Tesla T4 GPU. Training involved a batch size of 2, gradient accumulation steps of 4, and a maximum of 60 steps with the AdamW optimizer.