|
|
--- |
|
|
license: apache-2.0 |
|
|
language: |
|
|
- en |
|
|
pipeline_tag: text-generation |
|
|
tags: |
|
|
- conversational |
|
|
- assistant |
|
|
- safety |
|
|
- helpful |
|
|
library_name: transformers |
|
|
--- |
|
|
|
|
|
<div align="center"> |
|
|
<img src="https://imgur.com/sk6NekE.png" alt="Helion-V1 Logo" width="100%"/> |
|
|
</div> |
|
|
|
|
|
--- |
|
|
|
|
|
# Helion-V1 |
|
|
|
|
|
Helion-V1 is a conversational AI model designed to be helpful, harmless, and honest. The model focuses on providing assistance to users in a friendly and safe manner, with built-in safeguards to prevent harmful outputs. |
|
|
|
|
|
## Model Description |
|
|
|
|
|
- **Developed by:** DeepXR |
|
|
- **Model type:** Causal Language Model |
|
|
- **Language(s):** English |
|
|
- **License:** Apache 2.0 |
|
|
- **Finetuned from:** [Troviku-1.1] |
|
|
|
|
|
## Intended Use |
|
|
|
|
|
Helion-V1 is designed for: |
|
|
- General conversational assistance |
|
|
- Question answering |
|
|
- Creative writing support |
|
|
- Educational purposes |
|
|
- Coding assistance |
|
|
|
|
|
### Direct Use |
|
|
|
|
|
The model can be used directly for chat-based applications where safety and helpfulness are priorities. |
|
|
|
|
|
### Out-of-Scope Use |
|
|
|
|
|
This model should NOT be used for: |
|
|
- Generating harmful, illegal, or unethical content |
|
|
- Medical, legal, or financial advice without proper disclaimers |
|
|
- Impersonating individuals or organizations |
|
|
- Creating misleading or false information |
|
|
|
|
|
## Safeguards |
|
|
|
|
|
Helion-V1 includes safety mechanisms to: |
|
|
- Refuse harmful requests |
|
|
- Avoid generating dangerous content |
|
|
- Maintain respectful and helpful interactions |
|
|
- Protect user privacy and safety |
|
|
|
|
|
## Usage |
|
|
```python |
|
|
from transformers import AutoTokenizer, AutoModelForCausalLM |
|
|
|
|
|
model_name = "DeepXR/Helion-V1" |
|
|
tokenizer = AutoTokenizer.from_pretrained(model_name) |
|
|
model = AutoModelForCausalLM.from_pretrained(model_name) |
|
|
|
|
|
messages = [ |
|
|
{"role": "user", "content": "Hello! Can you help me with a question?"} |
|
|
] |
|
|
|
|
|
input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt") |
|
|
output = model.generate(input_ids, max_length=512) |
|
|
response = tokenizer.decode(output[0], skip_special_tokens=True) |
|
|
print(response) |
|
|
``` |
|
|
|
|
|
## Training Details |
|
|
|
|
|
### Training Data |
|
|
|
|
|
[Information about training data] |
|
|
|
|
|
### Training Procedure |
|
|
|
|
|
[Information about training procedure, hyperparameters, etc.] |
|
|
|
|
|
## Evaluation |
|
|
|
|
|
### Testing Data & Metrics |
|
|
|
|
|
[Information about evaluation metrics and results] |
|
|
|
|
|
## Limitations |
|
|
|
|
|
- The model may occasionally generate incorrect information |
|
|
- Performance may vary across different domains |
|
|
- Context window is limited |
|
|
- May reflect biases present in training data |
|
|
|
|
|
## Ethical Considerations |
|
|
|
|
|
Helion-V1 has been developed with safety as a priority. However, users should: |
|
|
- Verify critical information from reliable sources |
|
|
- Use appropriate content filtering for sensitive applications |
|
|
- Monitor outputs in production environments |
|
|
- Provide proper attributions when using model outputs |
|
|
|
|
|
## Citation |
|
|
```bibtex |
|
|
@misc{helion-v1, |
|
|
author = {DeepXR}, |
|
|
title = {Helion-V1: A Safe and Helpful Conversational AI}, |
|
|
year = {2025}, |
|
|
publisher = {HuggingFace}, |
|
|
url = {https://huggingface.co/DeepXR/Helion-V1} |
|
|
} |
|
|
``` |
|
|
|
|
|
## Contact |
|
|
|
|
|
For questions or issues, please open an issue on the model repository or contact the development team. |
