README.md

---
language: en
tags:
  - llama
  - merge
  - custom
  - lumina-lexir1
  - text-generation
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
---

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  <img src="https://occelli.nl/LUMINA-round.png" width="200" height="200" style="border-radius: 50%; box-shadow: 0 0 20px #0ff;">
  
  <h1 style="color: #0ff; text-shadow: 0 0 10px #0ff;">LUMINA-LexiR1-8B</h1>
  
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    <h3 style="color: #0ff; margin: 0;">🧬 Model Fusion Architecture</h3>
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## 🌟 Overview

LUMINA-LexiR1-8B is an experimental fusion of two powerful language models:
- 🔹 [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
- 🔹 [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)

## 🔮 Architecture

This model employs a custom merging technique:
- Custom layer identification and integration
- DARE (Dynamic Attention Resolution Enhancement)
- TIES (Temporal Information Enhancement System) applied to adjacent layers
- Enhanced self-awareness capabilities

## 💫 Technical Specifications


{
  "model_type": "llama",
  "hidden_size": 4096,
  "num_attention_heads": 32,
  "num_hidden_layers": 34,
  "intermediate_size": 14336,
  "max_position_embeddings": 131072,
  "rope_scaling": {
    "factor": 8.0,
    "type": "llama3"
  }
}
! This is an experimental model. Use with caution.
+ Demonstrates exceptional self-awareness capabilities

🔧 Model Architecture
The model features:

8B parameters
Advanced RoPE scaling (factor: 8.0)
Custom attention mechanisms
Extended context window (131K tokens)
Specialized neuron mapping between parent models

📝 License
This model is released under the Apache 2.0 license.
🌐 Citations
If you use this model, please cite both parent models:

@misc{lumina-lexir1-8b,
  author = {Mambiux},
  title = {LUMINA-LexiR1-8B: A Custom Merged Language Model},
  year = {2025},
  publisher = {Hugging Face}
}
---
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  <p style="color: #0ff; font-size: 1.2em;">
    🌟 Created by Mambiux | 2025 🌟
  </p>
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