Update README.md

README.md

@@ -1,22 +1,42 @@
----
-base_model: unsloth/Qwen3-0.6B-unsloth-bnb-4bit
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- qwen3
-- gguf
-license: apache-2.0
-language:
-- en
----
-
-# Uploaded  model
-
-- **Developed by:** srisree
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen3-0.6B-unsloth-bnb-4bit
-
-This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+---
+base_model: unsloth/Qwen3-0.6B-unsloth-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+- gguf
+license: apache-2.0
+language:
+- en
+datasets:
+- srisree/nextjs_typescript_fim_dataset
+---
+![](https://cas-bridge.xethub.hf.co/xet-bridge-us/68df672ca9ec9af1d47c7f49/7145158a25898f06dd15a962e660168dcc23d88301d5c6d4001e10cc40baa27e?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20251007%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20251007T075926Z&X-Amz-Expires=3600&X-Amz-Signature=934a3f4f968d245673e42ebb3ecbd5b8e7fa1b1dc978f254e80fa84ca56048b4&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=64fdcf65010f41e43574ead1&response-content-disposition=inline%3B+filename*%3DUTF-8%27%27logo.png%3B+filename%3D%22logo.png%22%3B&response-content-type=image%2Fpng&x-id=GetObject&Expires=1759827566&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc1OTgyNzU2Nn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2FzLWJyaWRnZS54ZXRodWIuaGYuY28veGV0LWJyaWRnZS11cy82OGRmNjcyY2E5ZWM5YWYxZDQ3YzdmNDkvNzE0NTE1OGEyNTg5OGYwNmRkMTVhOTYyZTY2MDE2OGRjYzIzZDg4MzAxZDVjNmQ0MDAxZTEwY2M0MGJhYTI3ZSoifV19&Signature=lfbWQ7JEfCthxaMxKwHBz9TC8J%7EBVQ1ythRdjN8xB8CjpdnY5HD3KR6H5B7R6U4c4zGUV6d9s5CJlOBx-9F4ltzUTtx9HF%7EKqCxk0z52dFjoH%7ECrGX2rJIyKkdEiZWa%7Eu7EKVfutwrzADQizSy0TbwU5Cvah7B4qOb7zEey2QRvGG-73SrByeLGTuYuzQGWPB9uQR71oTe3hShbKKz2qJs5eEgDaoLrZgo2Q5hazCeuHNim0VqgDkw2-c4UKF2xmRQz3TKY2eHtmw9woOZex4I2Yau0hI6XPFWapmtudCS4rHi%7EtDaA4SgRU4T8N5nnAVOVGOMpvPGoCRQSo%7EaQpew__&Key-Pair-Id=K2L8F4GPSG1IFC)
+
+
+NanoCoder is a Fill-in-the-Middle (FIM) language model specifically designed for React frontend development and coding assistance. It helps users with intelligent code autocompletion and context-aware generation. The model was fine-tuned using Unsloth on the Qwen 3 0.6B base model, leveraging a high-quality FIM dataset curated from GitHub repositories to enhance coding capabilities and developer productivity.
+
+## 🧠 Datasets
+
+We trained **NanoCoder** using a **high-quality Fill-in-the-Middle (FIM)** dataset curated from GitHub repositories:  
+[**srisree/nextjs_typescript_fim_dataset**](https://huggingface.co/datasets/srisree/nextjs_typescript_fim_dataset) on Hugging Face.
+
+This dataset focuses on **React/Next.js** and **TypeScript** projects, providing rich, real-world coding examples that help the model understand frontend architecture, component composition, and React ecosystem patterns.  
+
+By leveraging this dataset, **NanoCoder** learns to:
+- Predict and fill missing code intelligently using FIM objectives.  
+- Understand React component structures and TypeScript typing patterns.  
+- Generate clean, production-grade frontend code snippets.  
+
+## ⚙️ FIM Training Colab Script
+
+We’re preparing an interactive **Google Colab notebook** for reproducing the **Fill-in-the-Middle (FIM)** fine-tuning process used to train **NanoCoder** with **Unsloth** on the **Qwen 3 0.6B** base model.
+
+The Colab script will include:
+- ✅ Environment setup with Unsloth and Qwen 3 0.6B  
+- ✅ Loading and preprocessing the [Next.js TypeScript FIM Dataset](https://huggingface.co/datasets/srisree/nextjs_typescript_fim_dataset)  
+- ✅ Training configuration (LoRA, batch size, sequence length, etc.)  
+- ✅ Evaluation and inference examples  
+
+🚀 **Coming soon...** Stay tuned for the full release!