Update README.md

README.md

@@ -131,12 +131,12 @@ GPTQ is a technique (called quantization) that reduces model size.
 ただし、性能は少し落ちてしまいます。また、日本語と英語以外の言語への翻訳能力は著しく低下しているはずです。   
 However, performance is slightly reduced. Also, the ability to translate into languages other than Japanese and English should be significantly reduced.   
 
-[Sample Code For Free Colab webbigdata/ALMA-7B-Ja-V2-GPTQ-Ja-En](https://github.com/webbigdata-jp/ALMA/blob/master/ALMA_7B_Ja_V2_GPTQ_Ja_En_Free_Colab_sample.ipynb)  
+[Sample Code For Free Colab webbigdata/ALMA-7B-Ja-V2-GPTQ-Ja-En](https://github.com/webbigdata-jp/python_sample/blob/master/ALMA_7B_Ja_V2_GPTQ_Ja_En_Free_Colab_sample.ipynb)  
 
 ファイル全体を一度に翻訳したい場合は、以下のColabをお試しください。 
 If you want to translate the entire file at once, try Colab below.  
 
-[ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample](https://github.com/webbigdata-jp/ALMA/blob/master/ALMA_7B_Ja_V2_GPTQ_Ja_En_batch_translation_sample.ipynb)
+[ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample](https://github.com/webbigdata-jp/python_sample/blob/master/ALMA_7B_Ja_V2_GPTQ_Ja_En_batch_translation_sample.ipynb)
 
 
 **ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures strong translation performance.