BLOSSOM-v4-qwen1_5-7b
介绍
Blossom是一个对话式语言模型，基于Qwen1.5-7B预训练模型，在Blossom Orca/Wizard/Chat/Math混合数据集上进行指令精调得来。Blossom拥有强大的通用能力及上下文理解能力，此外，训练使用的高质量中英文数据集也进行了开源。
训练分为两阶段，第一阶段使用100K Wizard、100K Orca、20K Math单轮指令数据集，训练1个epoch；第二阶段使用50K Blossom chat多轮对话数据集、以及上一阶段中随机采样2%的数据，训练3个epoch。
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？<|endoftext|>
|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<|endoftext|>
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