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  ---
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  license: apache-2.0
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  language:
@@ -68,52 +69,4 @@ messages = [
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  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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- ```
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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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- ### 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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- For questions or issues, please open an issue on the model repository or contact the development team.
 
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+ icon: https://imgur.com/sk6NekE
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  ---
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  license: apache-2.0
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  language:
 
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  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)