Update README.md

README.md

@@ -17,11 +17,13 @@ This repository demonstrates how to fine-tune the **Qwen 7B** model to create "A
 
 ## 🚀 Resources  
 - **Source Code**: [GitHub Repository](https://github.com/while-basic/mindcraft)  #todo: add mindcraft repo
-- **Colab Notebook**: [Run the Tutorial](https://colab.research.google.com/drive/1Eq5dOjc6sePEt7ltt8zV_oBRqstednUT?usp=sharing)  #todo: add colab notebook url 
-
+- **Colab Notebook**: [Colab Notebook](https://colab.research.google.com/drive/1Eq5dOjc6sePEt7ltt8zV_oBRqstednUT?usp=sharing)
+- **Blog Article**: [Walkthrough](https://chris-celaya-blog.vercel.app/articles/unsloth-training)
+- **Teaser**: [Video](https://www.youtube.com/watch?v=KUXY5OtaPZc)
+  
 ## Overview  
 
-This guide provides step-by-step instructions to:  
+This **readme.md** provides step-by-step instructions to:  
 1. Install and set up the **Unsloth framework**.  
 2. Initialize the **Qwen 7B** model with **4-bit quantization**.  
 3. Implement **LoRA Adapters** for memory-efficient fine-tuning.  
@@ -67,7 +69,7 @@ import torch
 model, tokenizer = FastLanguageModel.from_pretrained(
     model_name="unsloth/Qwen2.5-7B-bnb-4bit",
     max_seq_length=2048,
-    dtype=torch.bfloat16,  # Or torch.float16 for older GPUs
+    dtype=torch.bfloat16,
     load_in_4bit=True,
     trust_remote_code=True,
 )