wehub-resource-sync
56 lines
3.2 KiB
Markdown
56 lines
3.2 KiB
Markdown
# 代码与脚本 Code and Scripts
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### training/
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预训练与指令精调代码，Wiki：
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- 预训练：[https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/预训练脚本](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/预训练脚本)
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- 指令精调：[https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/指令精调脚本](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/指令精调脚本)
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Pre-training and instruction finetuning code, Wiki:
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- Pre-training: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Pretraining-Script
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- Instruction finetuning: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/SFT-Script
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### inference/
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使用🤗transformers进行推理，Wiki：[https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/使用Transformers推理](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/使用Transformers推理)
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Inference using 🤗transformers, Wiki: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Inference-with-Transformers
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### langchain/
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使用LangChain进行检索式问答和文本摘要的示例，Wiki：[https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/与LangChain进行集成](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/与LangChain进行集成)
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Using LangChain for Retrieval QA and Summarization, Wiki: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Integrated-with-LangChain
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### openai_server_demo/
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使用fastapi实现的仿OPENAI API风格的服务器，Wiki：[https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/API调用](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/API调用)
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A server that implements OPENAI API using fastapi, Wiki: [https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/API-Calls](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/API-Calls)
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### merge_tokenizer/
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中文词表扩充代码，Wiki: [https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/训练细节#准备工作词表扩充](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/训练细节#准备工作词表扩充)
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Code for extending Chinese vocabulary, Wiki: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Training-Details#preparation-vocabulary-expansion
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### merge_llama_with_chinese_lora.py
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合并LLaMA/Alpaca LoRA脚本，Wiki: [https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/手动模型合并与转换](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/手动模型合并与转换)
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Script for merging LLaMA/Alpaca LoRA. Wiki: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Manual-Conversion
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### merge_llama_with_chinese_lora_low_mem.py
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（推荐）低资源版合并LLaMA/Alpaca LoRA脚本，Wiki: [https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/手动模型合并与转换](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/手动模型合并与转换)
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（recommended）Script for merging LLaMA/Alpaca LoRA (low-resource version). Wiki: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Manual-Conversion
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### crawl_prompt.py
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指令数据爬取脚本，Wiki：[https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/训练细节#训练数据](https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/训练细节#训练数据)
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Crawl prompt script, Wiki: https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki/Training-Details#training-data
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