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license: apache-2.0 |
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Some GGUF v2 quantizations of the model [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) |
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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. |
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- Smaller-scale |
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- Same vocabulary as LLaMA1 and LLaMA2 |
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- Derived with a budget of 50B tokens by utilizing existing strong LLMs |
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## Downstream Tasks |
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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. |
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| Model | # Pre-training Tokens | Average Performance | |
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| ------------------- | --------------------- | ------------------- | |
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| LLaMA2-7B | 2T | 64.6 | |
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**1.3B** |
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| Model | # Pre-training Tokens | Average Performance | |
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| ------------------- | --------------------- | ------------------- | |
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| OPT-1.3B | 300B | 48.2 | |
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| Pythia-1.4B | 300B | 48.9 | |
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| **Sheared-LLaMA-1.3B** | **50B** | **51.0** | |
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**3B** |
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| Model | # Pre-training Tokens | Average Performance | |
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| ------------------- | --------------------- | ------------------- | |
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| OPT-2.7B | 300B | 51.4 | |
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| Pythia-2.8B | 300B | 52.5 | |
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| INCITE-Base-3B | 800B | 54.7 | |
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| Open-LLaMA-3B-v1 | 1T | 55.1 | |
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| Open-LLaMA-3B-v2 | 1T | 55.7 | |
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| Sheared-LLaMA-2.7B | 50B | 56.7 | |
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