update README

README.md

@@ -1,20 +1,20 @@
 
 ### Model Sources
 
-Paper: LlamaX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
+Paper: LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
 
 Link: https://arxiv.org/pdf/2407
 
 Repository: https://github.com/CONE-MT/
 
 ### Model Description
-LlamaX is a multilingual language model, developed through continued pre-training on Llama2, and supports over 100 languages.
+LLaMAX is a multilingual language model, developed through continued pre-training on Llama2, and supports over 100 languages.
 Its translation capabilities far exceed general models of the same scale, and it can serve as a base model to support downstream multilingual tasks.
 
 
 ### 🔥 Effortless Multilingual Translation with a Simple Prompt
 
-LlamaX supports translation between more than 100 languages, surpassing the performance of similarly scaled LLMs.
+LLaMAX supports translation between more than 100 languages, surpassing the performance of similarly scaled LLMs.
 
 ```angular2html
 def prompt_template(query, src_language, trg_language):
@@ -46,14 +46,14 @@ tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokeniza
 
 ### 🔥 Effective Base Model for Multilingual Task
 
-LlamaX preserves its efficacy in general tasks and improves the performance on multilingual tasks.
-We fine-tuned LlamaX using only the English training set of downstream task, which also shows significant improvements in non-English. We provide fine-tuning LlamaX models for the following three tasks:
+LLaMAX preserves its efficacy in general tasks and improves the performance on multilingual tasks.
+We fine-tuned LLaMAX using only the English training set of downstream task, which also shows significant improvements in non-English. We provide fine-tuning LLaMAX models for the following three tasks:
 
-Math Reasoning: https://huggingface.co/TransLLaMA/TransLLaMA2-7B-MetaMath
+Math Reasoning: https://huggingface.co/LLaMAX/LLaMAX2-7B-MetaMath
 
-Commonsense Reasoning: https://huggingface.co/TransLLaMA/TransLLaMA2-7B-X-CSQA
+Commonsense Reasoning: https://huggingface.co/LLaMAX/LLaMAX2-7B-X-CSQA
 
-Natural Language Inference: https://huggingface.co/TransLLaMA/TransLLaMA2-7B-XNLI
+Natural Language Inference: https://huggingface.co/LLaMAX/LLaMAX2-7B-XNLI
 
 
 ### Supported Languages
@@ -61,10 +61,10 @@ Akrikaans (af), Amharic (am), Arabic (ar), Armenian (hy), Assamese (as), Asturia
 
 
 ### Model Index
-| Model   | TransLlama                                               | TransLlama-Alpaca                                               |
-|---------|----------------------------------------------------------|-----------------------------------------------------------------|
-| Llama-2 | [Link](https://huggingface.co/TransLLaMA/TransLLaMA2-7B) | [Link](https://huggingface.co/TransLLaMA/TransLLaMA2-7B-Alpaca) |
-| Llama-3 | [Link](https://huggingface.co/TransLLaMA/TransLLaMA3-8B) | [Link](https://huggingface.co/TransLLaMA/TransLLaMA3-8B-Alpaca) |
+| LLaMAX                                               | LLaMAX-Alpaca                                               |
+|----------------------------------------------------------|-----------------------------------------------------------------|
+| [Link](https://huggingface.co/LLaMAX/LLaMAX2-7B) | [Link](https://huggingface.co/LLaMAX/LLaMAX2-7B-Alpaca) |
+ | [Link](https://huggingface.co/LLaMAX/LLaMAX3-8B) | [Link](https://huggingface.co/LLaMAX/LLaMAX3-8B-Alpaca) |
 
 ### Citation
 If our model helps your work, please cite this paper: