Update README.md

README.md

@@ -5,3 +5,34 @@ Some GGUF v2 quantizations of the model [princeton-nlp/Sheared-LLaMA-1.3B](https
 
 
 Sheared-LLaMA-1.3B is a model pruned and further pre-trained from [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf). We dynamically load data from the [RedPajama dataset](https://github.com/togethercomputer/RedPajama-Data). We use 0.4B tokens for pruning and 50B tokens for continued pre-training the pruned model.
+
+- Smaller-scale
+- Same vocabulary as LLaMA1 and LLaMA2
+- Derived with a budget of 50B tokens by utilizing existing strong LLMs
+
+## Downstream Tasks
+
+We evaluate on an extensive set of downstream tasks including reasoning, reading comprehension, language modeling and knowledge intensive tasks. Our Sheared-LLaMA models outperform existing large language models. 
+
+| Model               | # Pre-training Tokens | Average Performance |
+| ------------------- | --------------------- | ------------------- |
+| LLaMA2-7B           | 2T                    | 64.6                |
+
+**1.3B**
+
+| Model               | # Pre-training Tokens | Average Performance |
+| ------------------- | --------------------- | ------------------- |
+| OPT-1.3B            | 300B                  | 48.2                |
+| Pythia-1.4B         | 300B                  | 48.9                |
+| **Sheared-LLaMA-1.3B**  | **50B**                   | **51.0**                |
+
+**3B**
+
+| Model               | # Pre-training Tokens | Average Performance |
+| ------------------- | --------------------- | ------------------- |
+| OPT-2.7B            | 300B                  | 51.4                |
+| Pythia-2.8B         | 300B                  | 52.5                |
+| INCITE-Base-3B      | 800B                  | 54.7                |
+| Open-LLaMA-3B-v1    | 1T                    | 55.1                |
+| Open-LLaMA-3B-v2    | 1T                    | 55.7                |
+| Sheared-LLaMA-2.7B  | 50B                   | 56.7                |