初始化项目，由ModelHub XC社区提供模型
Model: golaxy/gogpt-7b Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- BelleGroup/train_1M_CN
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- BAAI/COIG
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- silk-road/alpaca-data-gpt4-chinese
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language:
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- zh
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tags:
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- gogpt-7b
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---
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# GoGPT
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> GoGPT:ICT中英文底座增强大模型,基于Llama/Llama 2训练的底座大模型,参数规模包括70亿参数、130亿参数
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<p align="center">
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<br>
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<img src="resources/assets/gogpt-banner-tou.png" width="600"/>
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<br>
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</p>
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<p align="center">
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<img alt="GitHub" src="https://img.shields.io/github/license/ymcui/Chinese-LLaMA-Alpaca.svg?color=blue&style=flat-square">
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<img alt="GitHub top language" src="https://img.shields.io/github/languages/top/ymcui/Chinese-LLaMA-Alpaca">
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</p>
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## 模型部署
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🤗Huggingface上提供了GoGPT权重，目前开放了gogpt-7b和gogpt2-7b权重
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| 模型名称 | 基座模型 | 模型大小 | 下载地址 |
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|-------------------------------------------------------------|-----------|------|-------------------------------------------------|
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| [golaxy/gogpt-7b](https://huggingface.co/golaxy/gogpt-7b) | Llama-7b | 7B | [模型下载](https://huggingface.co/golaxy/gogpt-7b) |
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| [golaxy/gogpt2-7b](https://huggingface.co/golaxy/gogpt2-7b) | Llama2-7b | 7B | [模型下载](https://huggingface.co/golaxy/gogpt2-7b) |
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## 训练细节
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### step1：训练分词器
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[🐱怎么从零到一训练一个LLM分词器](https://github.com/yanqiangmiffy/how-to-train-tokenizer)
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```text
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├── data
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│ └── corpus.txt 训练语料
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├── llama
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│ ├── tokenizer_checklist.chk
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│ └── tokenizer.model
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├── merged_tokenizer_hf 合并结果 hf格式
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│ ├── special_tokens_map.json
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│ ├── tokenizer_config.json
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│ └── tokenizer.model
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├── merged_tokenizer_sp
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│ └── open_llama.model #
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├── merge_tokenizer
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│ └── tokenizer.model
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├── open_llama.model 训练的sp模型
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├── open_llama.vocab 训练的sp词汇表
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├── README.md
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├── step0_step0_process_text.py 基于多分数据集准备训练语料
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├── step1_make_corpus.py 基于中文Wikipedia数据准备训练语料
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├── step2_train_tokenzier.py 训练分词器
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├── step3_tokenzier_segment.py 测试训练后的模型，包括编码和解码测试样例
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└── step4_merge_tokenizers.py 与原版llama的分词器进行合并，得到hf格式的tokenizer
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```
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### step2：二次预训练
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> 在中文预训练语料上对LLaMA进行增量预训练、继续预训练
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### step3: 有监督微调
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- belle数据：120k数据 v1
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- stanford_alapca：52k数据 v2
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- [sharegpt](data%2Ffinetune%2Fsharegpt):90k数据
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### step4: 强化学习
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> TODO
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## 免责声明
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本项目相关资源仅供学术研究之用，严禁用于商业用途。 使用涉及第三方代码的部分时，请严格遵循相应的开源协议。
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模型生成的内容受模型计算、随机性和量化精度损失等因素影响，本项目不对其准确性作出保证。
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对于模型输出的任何内容，本项目不承担任何法律责任，亦不对因使用相关资源和输出结果而可能产生的任何损失承担责任。
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## 研究与开发团队
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本项目由网络数据科学与技术重点实验室GoGPT团队完成，团队指导老师为郭嘉丰研究员。
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||||
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|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
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size 6093
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||||
size 49805
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||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
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||||
"lstrip": false,
|
||||
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||||
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|
||||
},
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||||
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||||
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||||
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|
||||
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||||
},
|
||||
"pad_token": "[PAD]",
|
||||
"unk_token": {
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||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bd5ab2c18ed07a14f3aa55518dcf08bbee4fe86c9423e86ba61f60a82ab31fa7
|
||||
size 1077901
|
||||
35
tokenizer_config.json
Normal file
35
tokenizer_config.json
Normal file
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"use_fast": false
|
||||
}
|
||||
1759
trainer_state.json
Normal file
1759
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:97e00138104d4e085655a90d5111ad5f351141ea9ed78cbec25b5a9ec9760fec
|
||||
size 4027
|
||||
Reference in New Issue
Block a user