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+<div align="center">
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+# Droplychee AI Research
+
+### Building Open, Efficient, and Responsible Foundation Models
+
+<img src="assets/banner.png" alt="Droplychee AI Banner" width="100%">
+
+[![License](https://img.shields.io/badge/License-Apache--2.0-blue.svg)](LICENSE)
+[![Research](https://img.shields.io/badge/Research-Open%20AI%20Models-success.svg)](#)
+[![Language](https://img.shields.io/badge/Languages-40%2B-orange.svg)](#)
+[![Context](https://img.shields.io/badge/Context-Up%20to%201M%20Tokens-purple.svg)](#)
+
+</div>
+
+---
+
+# About
+
+**Droplychee AI Research** is an open research organization focused on developing large language models, multilingual AI systems, long-context transformers, and practical deployment technologies.
+
+Our mission is to build transparent, reproducible, and production-ready AI systems that empower developers, researchers, educators, and organizations worldwide.
+
+We believe that high-quality AI research should be accessible through open documentation, engineering best practices, and responsible model development.
+
+---
+
+# Mission
+
+Our goals include:
+
+- Develop high-quality open language models
+- Advance multilingual AI research
+- Improve long-context reasoning
+- Support efficient inference and deployment
+- Promote transparent model documentation
+- Encourage reproducible AI research
+- Foster an open-source developer community
+
+---
+
+# Research Areas
+
+- Large Language Models (LLMs)
+- Transformer Architectures
+- Long-Context Modeling
+- Multilingual Natural Language Processing
+- AI Agents
+- Retrieval-Augmented Generation (RAG)
+- Model Optimization
+- Quantization
+- Efficient Inference
+- Responsible AI
+- AI Safety
+- Benchmarking and Evaluation
+
+---
+
+# Flagship Projects
+
+## Droplychee-2.0-40B
+
+A multilingual decoder-only language model supporting long-context inference, instruction following, coding assistance, reasoning, and research workflows.
+
+Key features include:
+
+- Up to 1M token context support (configuration dependent)
+- YaRN-based context extension
+- 40+ language support
+- Transformer compatibility
+- Production deployment support
+
+---
+
+# Engineering Principles
+
+Our projects prioritize:
+
+- Transparency
+- Reproducibility
+- Documentation
+- Responsible AI
+- Open Standards
+- Practical Engineering
+- Community Collaboration
+
+---
+
+# Documentation
+
+Every major project includes comprehensive documentation such as:
+
+- Model Card
+- System Card
+- Technical Report
+- Evaluation Report
+- Deployment Guide
+- Architecture Documentation
+- Safety Documentation
+- Reproducibility Guide
+
+---
+
+# Community
+
+We welcome contributions including:
+
+- Bug reports
+- Documentation improvements
+- Benchmark reproductions
+- Evaluation feedback
+- Deployment examples
+- Educational resources
+
+Please read the repository's **CONTRIBUTING.md** before submitting pull requests.
+
+---
+
+# Responsible AI
+
+Our models are intended to assist users in research, education, software development, and general productivity.
+
+They are **not intended** to replace qualified human judgment in high-impact domains such as healthcare, law, finance, or emergency decision-making.
+
+Users should independently verify important outputs before relying on them.
+
+---
+
+# Repository Standards
+
+Projects published under Droplychee AI Research aim to include:
+
+- Clear documentation
+- Versioned releases
+- Open licensing (where applicable)
+- Reproducible research practices
+- Responsible disclosure processes
+- Transparent development workflows
+
+---
+
+# License
+
+Unless otherwise specified, projects are released under the Apache License 2.0.
+
+See individual repositories for licensing details.
+
+---
+
+<div align="center">
+
+**Building Open AI for Everyone**
+
+</div>