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  Llama-zh-base is an open-source project that offers a complete training pipeline for building Chinese large language models, ranging from dataset preparation to tokenization, pre-training, prompt tuning, and the reinforcement learning technique RLHF.
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  This is the Llama-zh-base model trained from scratch using the Chinese pretrain corpus in this project.The amount of parameters is about 0.8B.
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- 使用30G中文语料重头开始预训练的Llama模型,旨在提供可用的中小型基础模型。重新构建了embedding层和tokenizer。目前未经过指令微调。参数量约为0.8B左右。
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- [Repo Links](https://github.com/enze5088/Chatterbox/blob/main/docs/model/llama-zh-base.md)
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  ## 简介
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  Llama-zh-base is an open-source project that offers a complete training pipeline for building Chinese large language models, ranging from dataset preparation to tokenization, pre-training, prompt tuning, and the reinforcement learning technique RLHF.
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  This is the Llama-zh-base model trained from scratch using the Chinese pretrain corpus in this project.The amount of parameters is about 0.8B.
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+ 使用33G中文语料重头开始预训练的Llama模型,旨在提供可用的中小型基础模型。重新构建了embedding层和tokenizer。目前未经过指令微调。参数量约为0.8B左右。
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+ 项目github link [Repo Links](https://github.com/enze5088/Chatterbox/blob/main/docs/model/llama-zh-base.md)
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  ## 简介
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