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- <p align="center">
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- <img src="https://imgur.com/sk6NekE.png" alt="Helion-V1 Logo" width="100%"/>
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- </p>
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-
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  ---
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  license: apache-2.0
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  language:
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  library_name: transformers
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  ---
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  # Helion-V1
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  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.
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  - Protect user privacy and safety
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  ## Usage
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-
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  output = model.generate(input_ids, max_length=512)
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  response = tokenizer.decode(output[0], skip_special_tokens=True)
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  print(response)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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  language:
 
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  library_name: transformers
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  ---
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+ <div align="center">
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+ <img src="https://imgur.com/sk6NekE.png" alt="Helion-V1 Logo" width="200"/>
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+ </div>
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+
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  # Helion-V1
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  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.
 
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  - Protect user privacy and safety
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  ## Usage
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  output = model.generate(input_ids, max_length=512)
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  response = tokenizer.decode(output[0], skip_special_tokens=True)
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  print(response)
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+ ```
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ [Information about training data]
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+
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+ ### Training Procedure
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+
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+ [Information about training procedure, hyperparameters, etc.]
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+
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+ ## Evaluation
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+
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+ ### Testing Data & Metrics
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+
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+ [Information about evaluation metrics and results]
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+
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+ ## Limitations
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+
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+ - The model may occasionally generate incorrect information
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+ - Performance may vary across different domains
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+ - Context window is limited
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+ - May reflect biases present in training data
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+
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+ ## Ethical Considerations
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+ Helion-V1 has been developed with safety as a priority. However, users should:
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+ - Verify critical information from reliable sources
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+ - Use appropriate content filtering for sensitive applications
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+ - Monitor outputs in production environments
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+ - Provide proper attributions when using model outputs
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+
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+ ## Citation
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+ ```bibtex
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+ @misc{helion-v1,
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+ author = {DeepXR},
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+ title = {Helion-V1: A Safe and Helpful Conversational AI},
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+ year = {2024},
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+ publisher = {HuggingFace},
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+ url = {https://huggingface.co/DeepXR/Helion-V1}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ For questions or issues, please open an issue on the model repository or contact the development team.