metadata
license: apache-2.0
datasets:
- Azure99/blossom-chat-v1
- Azure99/blossom-math-v1
- ehartford/dolphin
- WizardLM/WizardLM_evol_instruct_V2_196k
language:
- zh
- en
BLOSSOM-v2-3b
介绍
Blossom是一个对话式语言模型，基于Bloom-3b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。
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>
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 32.43 |
| ARC (25-shot) | 35.32 |
| HellaSwag (10-shot) | 54.1 |
| MMLU (5-shot) | 23.99 |
| TruthfulQA (0-shot) | 43.11 |
| Winogrande (5-shot) | 58.8 |
| GSM8K (5-shot) | 0.53 |
| DROP (3-shot) | 11.17 |