Add Qwen3 1.7, 4B, 8B, and 32B support to from-scratch nb (#709)

Author: rasbt

.gitignore

@@ -55,6 +55,14 @@ ch05/10_llm-training-speed/loss.pdf
 ch05/10_llm-training-speed/model.pth
 ch05/11_qwen3/Qwen3-0.6B
 ch05/11_qwen3/Qwen3-0.6B-Base
+ch05/11_qwen3/Qwen3-1.7B
+ch05/11_qwen3/Qwen3-1.7B-Base
+ch05/11_qwen3/Qwen3-4B
+ch05/11_qwen3/Qwen3-4B-Base
+ch05/11_qwen3/Qwen3-8B
+ch05/11_qwen3/Qwen3-8B-Base
+ch05/11_qwen3/Qwen3-32B
+ch05/11_qwen3/Qwen3-32B-Base
 
 ch06/01_main-chapter-code/gpt2
 ch06/02_bonus_additional-experiments/gpt2

ch05/11_qwen3/README.md

@@ -1,14 +1,14 @@
 # Qwen3 From Scratch
 
-This [standalone-qwen3.ipynb](standalone-qwen3.ipynb) Jupyter notebook in this folder contains a from-scratch implementation of Qwen3 0.6B.
+This [standalone-qwen3.ipynb](standalone-qwen3.ipynb) Jupyter notebook in this folder contains a from-scratch implementation of Qwen3 0.6B, 1.7B, 4B, 8B, and 32 B.
 
 <img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/bonus/qwen/qwen-overview.webp">
 
 
 &nbsp;
 ### Using Qwen3 0.6B via the `llms-from-scratch` package
 
-For an easy way to use the Qwen3 from-scratch implementation, you can also use the `llms-from-scratch` PyPI package based on the source code in this repository at [pkg/llms_from_scratch](../../pkg/llms_from_scratch).
+For an easy way to use the Qwen3 0.6B from-scratch implementation, you can also use the `llms-from-scratch` PyPI package based on the source code in this repository at [pkg/llms_from_scratch](../../pkg/llms_from_scratch).
 
 &nbsp;
 #### 1) Installation