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README.md

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+---
+license: apache-2.0
+---
+
+**Paper**: [https://arxiv.org/pdf/2310.06694.pdf](https://arxiv.org/pdf/2310.06694.pdf)  
+**Code**: https://github.com/princeton-nlp/LLM-Shearing  
+**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)  
+
+
+## Training information
+This is the instruction tuned version of [princeton-nlp/Sheared-LLaMA-2.7B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-2.7B). We trained the base model on 10,000 instruction-response pairs
+sampled from the ShareGPT dataset (first-turns only). We use the following prompt to perform instruction tuning. 
+
+> You are a helpful assistant. Write a response that appropriately completes the request.\n\n### Input:\n{input}\n\n### Response:
+
+This model can be loaded through transformers.LlamaModelForCausalLM as follows:
+
+```
+from transformers import LlamaModelForCausalLM
+model = LlamaModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT")
+```
+
+## Bibtex
+
+If you find our model useful, consider citing us with:
+```
+@article{xia2023sheared,
+  title={Sheared llama: Accelerating language model pre-training via structured pruning},
+  author={Xia, Mengzhou and Gao, Tianyu and Zeng, Zhiyuan and Chen, Danqi},
+  journal={arXiv preprint arXiv:2310.06694},
+  year={2023}
+}
+```
+

added_tokens.json

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+{
+  "[PAD]": 32000
+}

config.json

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+{
+  "_name_or_path": "/scratch/gpfs/mengzhou/space2/out/test_round23_mosaicml_version5/llama2_7b_pruning_doremi_to3b_sl4096_finetune_bs1M_fullrun/checkpoint-51200",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 6912,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 20,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "use_cache": true,
+  "vocab_size": 32001
+}

generation_config.json

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+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.28.0"
+}

output.safetensors

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