初始化项目，由ModelHub XC社区提供模型

Model: wifibaby4u/Guru-Llama-3-8B
Source: Original Platform

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README.md

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+---
+language:
+- en
+- zh
+pipeline_tag: text-generation
+tags:
+- meta
+- llama-3
+- llama3中文基座模型
+license: llama3
+---
+
+# Llama3 中文增强预训练基座模型
+
+## 项目概述
+
+本项目使用 `LLaMA-Factory` 对 `Llama3-8b` 模型进行了中文增强预训练。
+
+## Models
+
+- Chat models
+  
+  | Name                 | Download                                                                                                                                                            |
+  | -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+  | Guru-Llama-3-8B-Chat | • [🤗 Hugging Face](https://huggingface.co/wifibaby4u/Guru-Llama-3-8B-Chat) • [🤖 ModelScope](https://modelscope.cn/models/wifibaby4u/Guru-Llama-3-8B-Chat) |
+
+- Base models
+  
+  | Name                | Download                                                                                                                                                            |
+  | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+  | Guru-Llama-3-8B     | • [🤗 Hugging Face](https://huggingface.co/wifibaby4u/Guru-Llama-3-8B) • [🤖 ModelScope](https://modelscope.cn/models/wifibaby4u/Guru-Llama-3-8B) |
+  
+## 评测
+
+### CMMLU
+
+| Name | Average | STEM | Social Sciences | Humanities | Other |
+|-------|---------|------|-----------------|------------|-------|
+| Five-shot | 49.59 | 42.28 | 51.37 | 51.87 | 51.79 |
+| Zero-shot | 40.53 | 36.31 | 41.13 | 40.82 | 43.20 |
+
+### MMLU
+
+| Name | Average | STEM | Social Sciences | Humanities | Other |
+|-------|---------|------|-----------------|------------|-------|
+| Five-shot | 60.88 | 49.77 | 71.62 | 55.22 | 69.24 |
+| Zero-shot | 58.97 | 48.30 | 69.62 | 52.75 | 67.81 |
+
+## 训练数据集
+
+| 资源名称               | 描述                             | 记录数量 | 文件名               | 文件大小(MB)     | 文件占比(%)  |
+|-----------------------|---------------------------------|----------|----------------------|--------------|------------|
+| 新闻联播内容           | 2016-2024年的新闻联播        | 31,637篇   | cctv_news.jsonl              | 43           | 0.029       |
+| 中华古诗词数据库       | 古诗词数据库                 | 390,904篇  | poetry.jsonl                 | 110          | 0.074       |
+| 诗人数据库             | 诗人数据库                   | 10,477条   | poet.jsonl                   | 3.7          | 0.002       |
+| 中国古典小说数据库     | 中国古典小说数据库           | 431本      | novel.jsonl                  | 242          | 0.163       |
+| 金庸小说               | 金庸小说                     | 15本       | jinyong.jsonl                | 25           | 0.017       |
+| 中国近现代历史文献选集 | 中国近现代历史文献选集       | 131篇      | bibliography.jsonl           | 2.3          | 0.002       |
+| 成语数据库             | 成语数据库                   | 23,148条   | idiom.jsonl                  | 2.5          | 0.002       |
+| 中国近代史-徐中约      | 中国近代史-徐中约            | 上、下两册 | modern_chinese_history.jsonl | 1.9          | 0.001       |
+| 高质量中英文翻译数据   | 中英文高质量翻译对           | 69,206条   | translation.jsonl            | 44           | 0.030       |
+| 维基百科               | 中文维基百科 (2023年7月20日) | 254,547条  | wikipedia-cn-20230720.jsonl  | 488          | 0.329       |
+| 作文                   | 作文集                       | 269,370篇  | composition.jsonl            | 517          | 0.349       |
+| 散文                   | 散文作品集                   | 658篇      | prose.jsonl                  | 2.9          | 0.002       |
+
+## 使用指南
+
+### 环境配置
+
+确保您的机器已经安装了以下软件：
+
+- Python 3.8+
+- PyTorch 1.8+
+
+### 安装
+
+首先安装所需依赖：
+
+```bash
+pip install modelscope
+```
+
+### 模型下载
+
+使用以下命令加载并运行模型：
+
+```python
+from modelscope import snapshot_download
+model_dir = snapshot_download('wifibaby4u/Guru-Llama-3-8B')
+```
+
+## 贡献
+
+我们欢迎社区开发者的贡献！如果您有兴趣参与本项目的开发或有任何建议，欢迎通过 Issue 或 Pull Request 的方式与我们联系。

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework":"Pytorch","task":"text-generation"}

generation_config.json

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+  "do_sample": true,
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+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.40.2"
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