Update README.md

README.md

@@ -41,7 +41,7 @@ SeaLLM-13b models exhibit superior performance across a wide spectrum of linguis
 - DEMO: [SeaLLMs/SeaLLM-Chat-13b](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b) DEMO allows **batch-inference** for evaluation purposes.
 - Technical report: [Arxiv: SeaLLMs - Large Language Models for Southeast Asia](https://arxiv.org/pdf/2312.00738.pdf).
 - Model weights:
-  - [SeaLLM-7B-Hybrid](https://huggingface.co/SeaLLMs/SeaLLM-7B-Hybrid): A ``base'' model trained with mixture of unlabeled raw texts and English supervised data in a hybrid setup, used for few-shot prompting or fine-tuning. (see [technical report](https://arxiv.org/pdf/2312.00738.pdf) for details).
+  - [SeaLLM-7B-Hybrid](https://huggingface.co/SeaLLMs/SeaLLM-7B-Hybrid): A "base" model trained with mix of unlabeled raw texts and English supervised data in a hybrid setup, used for few-shot prompting or fine-tuning. (see [technical report](https://arxiv.org/pdf/2312.00738.pdf) for details).
   - [SeaLLM-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM-7B-chat): Lower capability than [SeaLLM-13B-Chat](https://huggingface.co/spaces/SeaLLMs/SeaLLM-Chat-13b) but much faster and memory-efficient.