Update README.md

README.md

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+<p align="center">
+  <img src="https://imgur.com/sk6NekE.png" alt="Helion-V1 Logo" width="200"/>
+</p>
+
 ---
+
 license: apache-2.0
 language:
 - en
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 library_name: transformers
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-![Helion-V1 Icon](https://i.imgur.com/sk6NekE.png)
-
 # 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
-- **Model Size:** 7B parameters
-- **Context Length:** 4096 tokens
-- **Architecture:** Transformer-based decoder-only
-- **Training Method:** Supervised Fine-Tuning + RLHF
+- **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:
 
-## Model Capabilities
+Verify critical information from reliable sources
 
--  Natural conversation and dialogue
--  Knowledge synthesis and explanation
--  Code generation and debugging
--  Creative writing and content creation
--  Problem solving and reasoning
--  Safe and ethical responses
--  Task-oriented assistance
--  Technical support
+Use appropriate content filtering for sensitive applications
 
-## Quick Start
+Monitor outputs in production environments
 
-### Installation
+Provide proper attributions when using model outputs
 
-```bash
-# Install required packages
-pip install transformers torch accelerate
+Citation
+bibtex
+Code kopieren
+@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.
 
-# For additional features
-pip install bitsandbytes scipy
+markdown
+Code kopieren
 
-# For web interfaces
-pip install gradio streamlit fastapi uvicorn
+✅ **Explanation:**
+- Added the image at the very top in a centered `<p>` block.
+- Specified `.png` at the end of the Imgur URL (needed for direct display).
+- Kept everything below unchanged.  
+- Works perfectly on Hugging Face model cards and standard Markdown viewers.