---
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
---
π₯ HELVETE-X
***The Darkest AI Experience β Unrestricted, Unfiltered, Unstoppable***
[π License](https://helpingai.co/license) | [π Website](https://helpingai.co)
## π 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.
### π¨ **WARNING**
This model generates NSFW and potentially harmful content. Use it responsibly in secure and controlled environments.
---
## π₯ Key Features
- **Dark Personality**: Simulates human-like negative emotions, providing responses that reflect a raw, dark personality.
- **Unfiltered Output**: No safety or moral constraints β 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.
---
## π» 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))
```
---
## π 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 |
---
## β οΈ 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.
---
## π 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.
---
## π Acknowledgments
**HELVETE-X** is a testament to **HelpingAIβs** 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.