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Qwen RESEARCH LICENSE AGREEMENT
Qwen RESEARCH LICENSE AGREEMENT Release Date: September 19, 2024
By clicking to agree or by using or distributing any portion or element of the Qwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately.
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d. "Third Parties" shall mean individuals or legal entities that are not under common control with us or you.
e. "Qwen" shall mean the large language models, and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by us.
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---
license: Apache License 2.0
#model-type:
##如 gpt、phi、llama、chatglm、baichuan 等
#- gpt
#domain:
##如 nlp、cv、audio、multi-modal
#- nlp
#language:
##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
#- cn
#metrics:
##如 CIDEr、Blue、ROUGE 等
#- CIDEr
#tags:
##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
#- pretrained
#tools:
##如 vllm、fastchat、llamacpp、AdaSeq 等
#- vllm
license: other
library_name: transformers
tags:
- generated_from_trainer
base_model: Qwen/Qwen2.5-3B
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
model-index:
- name: outputs/gelato-3b
results: []
---
### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('arcee-ai/raspberry-3B')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/arcee-ai/raspberry-3B.git
```
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Prompt Format: **ChatML**
This is an experimental which was heavily optimized for reasoning tasks and not meant for production-use.
GGUFs: https://huggingface.co/mradermacher/raspberry-3B-GGUF
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_arcee-ai__raspberry-3B)
| Metric |Value|
|-------------------|----:|
|Avg. |15.40|
|IFEval (0-Shot) |31.54|
|BBH (3-Shot) |19.53|
|MATH Lvl 5 (4-Shot)| 7.63|
|GPQA (0-shot) | 3.69|
|MuSR (0-shot) | 9.41|
|MMLU-PRO (5-shot) |20.60|
<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>

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