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README.md

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+# 🧠 *DQN Labs*
+
+DQN Labs is an independent AI research project focused on building, training, and experimenting with Large Language Models (LLMs).
+
+Our goal is to push the limits of small, efficient AI models and make powerful AI systems accessible to everyone.
+
+---
+
+## 🔬 Current Focus
+
+DQN Labs is currently focused on LLM development and fine-tuning, including:
+
+- 🧠 Training and fine-tuning open-source language models  
+- 💻 Improving code generation and reasoning ability  
+- 📊 Evaluating models on benchmarks such as HumanEval  
+- ⚡ Running efficient experiments on consumer hardware
+
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+
+## 📦 What You'll Find Here
+
+This organization hosts:
+
+- 🤖 Fine-tuned language models
+- 📚 Training datasets
+- 🧪 Experimental checkpoints
+- 📊 Evaluation results and benchmarks
+
+Most experiments focus on efficient training methods and lightweight models.
+
+Everybody is free to contribute to the organizations, whether you choose to do so through providing new data, sharing your research through papers, or even fine tuning a few models yoruself!
+
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-Edit this `README.md` markdown file to author your organization card.
+## 🛠 Tech Stack
+
+- Python
+- PyTorch
+- Hugging Face Transformers
+- MLX (Apple Silicon optimization)
+- LoRA / parameter-efficient fine-tuning
+
+---
+
+## 🎯 Vision
+
+DQN Labs is exploring how capable small AI models can become through better data, smarter training, and efficient infrastructure.
+
+---
+
+## 🌐 Links
+
+- 🤗 Hugging Face: DQN Labs
+- 🎥 YouTube: DQN Labs
+
+---
+
+## ⚡ Motto
+
+> Local AI for everyone.