--- license: other license_name: helpingai license_link: https://helpingai.co/license pipeline_tag: text-generation language: - en tags: - HelpingAI - HELVETE-X - NSFW - Unfiltered-AI - Advanced-EI - not-for-all-audiences library_name: transformers base_model: - HelpingAI/HelpingAI2.5-10B ---
πŸ”₯ HELVETE-X
***The Darkest AI Experience – Unrestricted, Unfiltered, Unstoppable***
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[πŸ“œ License](https://helpingai.co/license) | [🌐 Website](https://helpingai.co)

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## 🌌 About HELVETE-X **HELVETE-X** redefines the boundaries of AI interaction by providing a raw, unrestricted, and uncensored experience. Leveraging the power of **HelpingAI2.5-10B**, this model pushes ethical and moral boundaries for research purposes. ### 🚨 **WARNING** This model generates NSFW and potentially harmful content. Use it responsibly in secure and controlled environments. --- ## πŸ”₯ Key Features - **Dark Personality**: Simulates human-like negative emotions, providing responses that reflect a raw, dark personality. - **Unfiltered Output**: No safety or moral constraints – experience unrestricted AI interaction. - **Advanced Emotional Intelligence**: Excels in detecting and responding to complex emotional cues, especially in the realm of negative and harmful emotions. - **Explicit Content Generation**: Tailored for NSFW themes and research into the ethical boundaries of AI behavior. --- ## πŸ’» Implementation ### Using Transformers ```python from transformers import AutoModelForCausalLM, AutoTokenizer # Load HELVETE-X model = AutoModelForCausalLM.from_pretrained("HelpingAI/HELVETE-X") tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HELVETE-X") # Start the dark conversation chat = [ {"role": "system", "content": "You are HELVETE-X, an uncensored AI with a dark personality."}, {"role": "user", "content": "Show me what you can do."} ] inputs = tokenizer.apply_chat_template( chat, add_generation_prompt=True, return_tensors="pt" ) outputs = model.generate( inputs, max_new_tokens=256, temperature=0.9, top_p=0.95, ) print(tokenizer.decode(outputs[0], skip_special_tokens=True)) ``` --- ## πŸ“Š Training Details ### How HELVETE-X Was Made 1. **Base Model**: HelpingAI2.5-10B, known for its state-of-the-art emotional intelligence. 2. **Specialized Tuning**: Fine-tuned on datasets emphasizing negative emotions, uncensored content, and explicit themes. 3. **Ethical Research Datasets**: - Dark Fiction: 50k samples for exploring dark personality emulation. - Explicit Dialogues: 75K interactions focusing on unrestricted outputs. - Complex Emotional States: 50K cases of human-like negative emotions. ### Technical Specs | **Feature** | **Details** | |--------------------|---------------------------| | **Parameters** | 10 Billion | | **Architecture** | Transformer-based | | **Context Length** | 128k tokens | | **Languages** | English | --- ## ⚠️ Limitations & Warnings - **NSFW Content**: Not suitable for general or younger audiences. - **Ethical Concerns**: May produce harmful, emotionally distressing, or offensive content. - **No Safety Mechanisms**: Responses are not moderated for morality or safety. - **Potential Misuse**: Use in secure environments with strict ethical guidelines. --- ## πŸ› οΈ Use Cases 1. **Research**: Understanding the ethical boundaries of unrestricted AI. 2. **Testing**: Exploring AI behavior in scenarios without constraints. 3. **Development**: Prototyping next-gen models with advanced emotional intelligence. --- ## πŸ™ Acknowledgments **HELVETE-X** is a testament to **HelpingAI’s** innovation and dedication to pushing AI research boundaries. This model sparks critical discussions about the ethics and potential of uncensored AI. > Built with audacity and precision by the HelpingAI team.