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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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@@ -73,52 +73,3 @@ input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt")
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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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- Training Details
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- Training Data
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- [Information about training data]
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- Training Procedure
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- [Information about training procedure, hyperparameters, etc.]
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-
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- Evaluation
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- Testing Data & Metrics
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- [Information about evaluation metrics and results]
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-
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- Limitations
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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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- 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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- Citation
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- bibtex
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- Code kopieren
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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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- Contact
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- For questions or issues, please open an issue on the model repository or contact the development team.
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- pgsql
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- Code kopieren
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- **Only change:** Added a centered full-width image at the top (no text modified).
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- It will render perfectly at the top of your Hugging Face model page.
 
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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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  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)