初始化项目，由ModelHub XC社区提供模型

Model: NinedayWang/PolyCoder-2.7B
Source: Original Platform

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README.md

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+This is a PolyCoder model with **2.7B** parameters, 
+presented in the paper ["A Systematic Evaluation of Large Language Models of Code"](https://arxiv.org/pdf/2202.13169.pdf) (MAPS'2022 and ICLR'2022 Workshop Deep Learning 4 Code).
+
+The model was trained on **249 GB** of code across **12** programming languages.
+
+**Note** - this model requires `transformers` version of at least **4.23.0**:
+```
+pip install transformers==4.23.0
+```
+For more information, see: [https://github.com/VHellendoorn/Code-LMs](https://github.com/VHellendoorn/Code-LMs)
+
+If you use this model, please cite:
+```
+@inproceedings{
+  xu2022polycoder,
+  title={A Systematic Evaluation of Large Language Models of Code},
+  author={Frank F. Xu and Uri Alon and Graham Neubig and Vincent Josua Hellendoorn},
+  booktitle={Deep Learning for Code Workshop},
+  year={2022},
+  url={https://openreview.net/forum?id=SLcEnoObJZq}
+}
+```

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+  ],
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+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
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+  "num_hidden_layers": 32,
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+  "rotary_pct": 1.0,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "use_cache": true,
+  "use_parallel_residual": false,
+  "vocab_size": 50304
+}

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special_tokens_map.json

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+}

tokenizer_config.json

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