Update README.md

README.md

@@ -1,3 +1,119 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- conversational
+- assistant
+- safety
+- helpful
+library_name: transformers
+---
+
+# 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:** [Base model information]
+
+## 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 = {2024},
+  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.