update readme

README.md

@@ -1,11 +1,9 @@
 
 ### Model Sources
 
-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/
+- **Paper**: LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
+- **Link**: 
+- **Repository**: https://github.com/CONE-MT/LLaMAX/
 
 ### Model Description
 LLaMAX is a multilingual language model, developed through continued pre-training on Llama3, and supports over 100 languages.
@@ -17,7 +15,7 @@ Its translation capabilities far exceed general models of the same scale, and it
 LLaMAX supports translation between more than 100 languages, surpassing the performance of similarly scaled LLMs.
 
 ```angular2html
-def prompt_template(query, src_language, trg_language):
+def Prompt_template(query, src_language, trg_language):
     instruction = f'Translate the following sentences from {src_language} to {trg_language}.'
     prompt = (
         'Below is an instruction that describes a task, paired with an input that provides further context. '
@@ -49,11 +47,9 @@ tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokeniza
 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/LLaMAX/LLaMAX2-7B-MetaMath
-
-Commonsense Reasoning: https://huggingface.co/LLaMAX/LLaMAX2-7B-X-CSQA
-
-Natural Language Inference: https://huggingface.co/LLaMAX/LLaMAX2-7B-XNLI
+- **Math Reasoning**: https://huggingface.co/LLaMAX/LLaMAX2-7B-MetaMath
+- **Commonsense Reasoning**: https://huggingface.co/LLaMAX/LLaMAX2-7B-X-CSQA
+- **Natural Language Inference**: https://huggingface.co/LLaMAX/LLaMAX2-7B-XNLI
 
 
 ### Supported Languages