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---
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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Azure99__blossom-v2-3b)
| 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 |
|