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README.md CHANGED
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- EXL2 quants of [Sheared-LLaMA-2.7B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-2.7B) from princeton-nlp.
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- This is a pruned and further pre-trained version of Llama2-7B
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-
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- [2.50 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/2.5bpw)
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- [2.70 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/2.7bpw)
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- [3.00 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/3.0bpw)
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- [3.50 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/3.5bpw)
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- [4.00 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/4.0bpw)
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- [4.50 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/4.5bpw)
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- [5.00 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/5.0bpw)
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- [6.00 bits per weight](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/tree/6.0bpw)
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-
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- [measurement.json](https://huggingface.co/turboderp/Sheared-Llama2-2.7B-exl2/blob/main/measurement.json)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ ---
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+
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+ **Paper**: [https://arxiv.org/pdf/2310.06694.pdf](https://arxiv.org/pdf/2310.06694.pdf)
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+ **Code**: https://github.com/princeton-nlp/LLM-Shearing
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+ **Models**: [Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B), [Sheared-LLaMA-2.7B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-2.7B)
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+
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+ **License**: Must comply with license of Llama2 since it's a model derived from Llama2.
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+
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+ ---
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+
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+ Sheared-LLaMA-2.7B 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 different domains in the [RedPajama dataset](https://github.com/togethercomputeub.com/togethercomputer/RedPajama-Data). We use 0.4B tokens for pruning and 50B tokens for continued pre-training the pruned model. This model can be loaded into huggingface via
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+
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+ ```
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+ model = AutoModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-2.7B")
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+ ```
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+
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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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+
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+ ## Downstream Tasks
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+
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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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+
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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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+
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+ **1.3B**
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+
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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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+
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+ **3B**
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+
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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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+
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+ ## Bibtex
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+ ```
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+ @article{xia2023sheared,
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+ title={Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning},
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+ author={Xia, Mengzhou and Gao, Tianyu, and Zeng, Zhiyuan and Chen, Danqi},
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+ year={2023}
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+ }
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+ ```
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+ }
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