---
license: apache-2.0
---
Some GGUF v2 quantizations of the model [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B)


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                |