Update README.md

README.md

@@ -19,6 +19,10 @@ library_name: transformers
 # gpt-oss-20b-Coding-Distill
 This project uses Unsloth for fine-tuning. All training data is converted to OpenAI Harmony format before training, but there may be cases where the output format doesn't conform to the OpenAI Harmony specification.
 
+## How I trained?
+We have actually trained the code and made it publicly available on GitHub. The code is published here solely as a reference to help you perform high-quality fine-tuning.
+**GitHub repo**: [midorin-Linux/gpt-oss-20b-Coding-Distill](https://github.com/midorin-Linux/gpt-oss-20b-Coding-Distill)
+
 ## Overview
 This project implements a sophisticated multi-phase fine-tuning pipeline for the GPT-OSS-20B model, leveraging conversation data from multiple state-of-the-art AI models to create a balanced, high-performance language model optimized for:
 
@@ -58,4 +62,4 @@ GPT-OSS-20B Base Model
      ├─ Data: Full mixed dataset
      ├─ Layers: Upper Attention layers + MLP + Adapter
      └─ Goal: Fine-tune attention patterns if needed
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