Update README.md

README.md

@@ -22,6 +22,7 @@ We use approximately 200 billion tokens that were sampled from a large Japanese
 coding contents, etc (see the Training Datasets section of the base model) for continual pre-training.
 The instruction-tuned models (Instruct) were built by supervised fine-tuning (SFT) on the synthetic data specially built for Japanese.
 See the Swallow Model Index section to find other model variants.
+
 **Note**: [Llama-3.1-Swallow-8B-Instruct-v0.2](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2) model was continually pre-trained from the [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct). All other Llama 3.1 Swallow models were pre-trained from their respective base models.