Update README.md

README.md

@@ -23,7 +23,9 @@ created by mmnga.
 You can use gguf model with llama.cpp at cpu only machine.  
 But maybe gguf model little bit slower then GPTQ especialy long text.
 
-### How to run.
+# How to run.
+
+## Local PC
 
 You can use [text-generation-webui](https://github.com/oobabooga/text-generation-webui) to run this model fast(about 16 tokens/s on my RTX 3060) on your local PC.
 
@@ -31,7 +33,14 @@ You can use [text-generation-webui](https://github.com/oobabooga/text-generation
 
 The explanation of [how to install text-generation-webui in  Japanese is here.](https://webbigdata.jp/post-19926/).
 
-### simple sample code
+### colab with GUI
+
+You can try this model interactively in the free version of Colab.  
+[weblab-10b-instruction-sft-GPTQ-text-generation-webui-colab](https://github.com/webbigdata-jp/python_sample/blob/main/weblab_10b_instruction_sft_GPTQ_text_generation_webui_colab.ipynb)  
+
+![text-generation-webui-sample](./text-generation-webui-colab-sample.png "text-generation-webui-colab")
+
+### colab simple sample code
 
 Currently, models may behave differently on local PC and Colab. On Colab, the model may not respond if you include instructional prompts.  
 [Colab Sample script](https://github.com/webbigdata-jp/python_sample/blob/main/weblab_10b_instruction_sft_GPTQ_sample.ipynb)