Update README.md

README.md

@@ -52,7 +52,7 @@ print(outputs[0]["generated_text"][-1])
 
 * Base model: [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
 * Continued Pretraining: The training data consists of 1B tokens sourced from a pretraining corpus using per-domain upsampling based on sample length. The model was trained for 125 iterations with a sequence length of 1M and a global batch size of 8.
-* Supervised fine-tuning (SFT): 1B tokens on open-source instruction datasets across general, mathematics, and code domains.
+* Supervised fine-tuning (SFT): 1B tokens on open-source instruction datasets across general, mathematics, and code domains. We subsample the data from the ‘general_sft_stage2’ from [AceMath-Instruct](https://huggingface.co/datasets/nvidia/AceMath-Instruct-Training-Data).
 * Maximum context window: 1M tokens
 
 ## Evaluation Results