Update README.md

README.md

@@ -9,7 +9,7 @@ tags:
 - pytorch
 - llama
 - llama-2
-base_model: DavidLanz/Meta-Llama-3-8B-Instruct
+base_model: DavidLanz/Llama3-tw-8B-Instruct
 model_name: Llama 3 8B Instruct
 inference: false
 model_creator: Meta Llama 3
@@ -34,7 +34,7 @@ Disclaimer: This model is for a time series problem on LLM performance, and it's
 
 ## Model Details
 
-The training data source is from the [臺灣證券交易所 / Taiwan Stock Exchange (TWSE)](https://www.twse.com.tw/), covering the period from January 1, 2019, to June 21, 2024 (5 years).
+The training data source is from the [臺灣證券交易所 / Taiwan Stock Exchange (TWSE)](https://www.twse.com.tw/), covering the period from January 1, 2019, to July 1, 2024 (5 years).
 
 ### Model Description
 
@@ -71,7 +71,7 @@ bnb_config = BitsAndBytesConfig(
     bnb_4bit_use_double_quant=use_nested_quant,
 )
 
-based_model_path = "meta-llama/Meta-Llama-3-8B-Instruct"
+based_model_path = "DavidLanz/Llama3-tw-8B-Instruct"
 adapter_path = "DavidLanz/llama3_8b_taiwan_stock_qlora"
 
 base_model = AutoModelForCausalLM.from_pretrained(