Update README.md

README.md

@@ -55,7 +55,7 @@ dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for
 load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.
 
 model, tokenizer = FastLanguageModel.from_pretrained(
-    model_name = "forbiddensoul90/lux_lora_2",
+    model_name = "aiplanet/Lux-Llama",
     max_seq_length = max_seq_length,
     dtype = dtype,
     load_in_4bit = load_in_4bit,
@@ -93,10 +93,10 @@ The Luxembourgish Chain-of-Thought (CoT) dataset used for fine-tuning consists o
 ## Benchmarking
 - *Under progress*
 
+## Acknowledgments
+This work leverages computational resources and support from [Meluxina](https://www.luxprovide.lu/meluxina) by LuxProvide.
   
 <img src="https://www.luxprovide.lu/wp-content/themes/luxprovide2023/public/images/logo/logo_notagline_color_blue.4b07cb.svg" alt="LuxProvide Logo" width="50%">
 
 <img src="https://docs.lxp.lu/FAQ/images/MeluXina_Logo.png" alt="Meluxina Logo" width="50%">
 
-## Acknowledgments
-This work leverages computational resources and support from [Meluxina](https://www.luxprovide.lu/meluxina) by LuxProvide.