Update README.md

README.md

@@ -25,7 +25,7 @@ The primary use of ICKG LLM is for generating knowledge graphs (KG) based on ins
 - **Python Code**: [https://github.com/xiaohui-victor-li/FinDKG](https://github.com/xiaohui-victor-li/FinDKG)
 
 ## Training Details
-ICKG 2.0 is fine-tuned from the latest Vicuna-7B using ~3K instruction-following demonstrations including KG construction input document and extracted KG triplets as response output. ICKG is thus learnt to extract list of KG triplets from given text document via prompt engineering. For more in-depth training details, refer to the "Generative Knowledge Graph Construction with Fine-tuned LLM" section of [the accompanying paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4608445).
+ICKG v3.2 is fine-tuned from the latest Mistral-7B using ~5K instruction-following demonstrations including KG construction input document and extracted KG triplets as response output. ICKG is thus learnt to extract list of KG triplets from given text document via prompt engineering. For more in-depth training details, refer to the "Generative Knowledge Graph Construction with Fine-tuned LLM" section of [the accompanying paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4608445).
 
 - **Prompt Template**: The entities and relationship can be customized for specific tasks. `<input_text>` is the document text to replace.