BLOSSOM-v2-llama2-7b
介绍
Blossom是一个对话式语言模型，基于Llama-2-7b预训练模型，在Blossom、Wizard、Dolphin混合数据集上进行指令精调得来。
训练分为两阶段，第一阶段使用120K Wizard、180K Dolphin单轮指令数据集，训练1个epoch；第二阶段使用60K Blossom chat、2K Blossom math多轮对话数据集，训练3个epoch。
注意：Llama-2-7b预训练模型的中文知识较为欠缺，因此对于中文场景，更推荐使用blossom-v2-baichuan-7b
推理
推理采用对话续写的形式。
单轮对话
A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
|Human|: 你好
|Bot|:
多轮对话
A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
|Human|: 你好
|Bot|: 你好，有什么我能帮助你的？</s>
|Human|: 介绍下中国的首都吧
|Bot|:
注意：在历史对话的Bot输出结尾，拼接一个</s>
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