Update README.md

README.md

@@ -74,6 +74,9 @@ pred = tokenizer.decode(outputs[answer_start:], skip_special_tokens=True)
 print(pred)
 ```
 
+### LLaMA-3-8B (💡New!)
+In our recent research on [Instruction-Pretrain](https://huggingface.co/papers/2406.14491), we developed a context-based instruction synthesizer to augment the raw corpora with instruction-response pairs, **enabling Llama3-8B to be comparable to or even outperform Llama3-70B**: [Finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B), [Biomedicine-Llama3-8B](https://huggingface.co/instruction-pretrain/medicine-Llama3-8B).
+
 ## 2. Domain-Specific Tasks
 
 ### Pre-templatized Testing Splits