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README.md

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-Edit this `README.md` markdown file to author your organization card.
+# **nanochat students**
+
+Welcome to the **nanochat students** organization\! This is a community organization for students following Andrej Karpathy's [nanochat course](https://github.com/karpathy/nanochat). We are learning to build a full-stack LLM implementation from tokenization to web serving, all for under $100.
+
+## **What is nanochat?**
+
+nanochat is a complete implementation of an LLM like ChatGPT in a minimal, hackable codebase. It's designed as the capstone project for the LLM101n course by Eureka Labs, teaching you to build and train your own ChatGPT clone end-to-end.
+
+## **What You'll Find Here**
+
+This organization hosts community-contributed resources to help you learn and succeed with nanochat. You'll find:  
+\- notebooks that break down the implementation.  
+\- spaces that demo or illustrate the concepts we’re learning.   
+\- trained models and checkpoints from the community  
+\- relevant curated datasets.
+
+## Getting Help and Sharing Ideas
+
+The [Discussions](https://huggingface.co/spaces/nanochat-students/README/discussions) section is where you can ask questions, share your training results and report cards, discuss optimization techniques, and collaborate on experiments.
+
+<!-- ## **Getting Started**
+
+1. **Start with the main repo**: Clone and explore [karpathy/nanochat](https://github.com/karpathy/nanochat)  
+2. **Run the speedrun**: Follow the quick start guide to train your first $100 model  
+3. **Explore resources here**: Check out community notebooks and spaces  
+4. **Join discussions**: Share your results and learn from others  
+5. **Contribute back**: Share your own notebooks, models, or datasets\! -->
+
+## **Contributing**
+
+We welcome contributions from all students or experts. Here's how you can help:
+
+- Notebooks: make tutorials or experiments that explain concepts from the code.  
+- Demos: make interactive demos or tools as Spaces  
+- Models Share your trained checkpoints with training details  
+- Help: Answer questions in [discussions](https://huggingface.co/spaces/nanochat-students/README/discussions)  
+- Articles: Write guides based on your experience and share them.
+
+If you make anything, share it in this discussion [thread](https://huggingface.co/spaces/nanochat-students/README/discussions/1)
+
+## **Resources**
+
+- nanochat repo - [karpathy/nanochat](https://github.com/karpathy/nanochat)  
+- Introduction post: ["Introducing nanochat: The best ChatGPT that $100 can buy"](https://github.com/karpathy/nanochat/discussions/1)