---
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen1.5-7B-Chat/raw/main/LICENSE
datasets:
- yys/OpenOrca-Chinese
language:
- zh
- en
pipeline_tag: text-generation
tags:
- CoT
---
<style>
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  src: url(https://zpix.now.sh/zpix.woff2?v2021-03-21);
}
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    font-family:Zpix;
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  #main-ame-back {
    font-family:Zpix;
    color: #fd96fd !important;
    
      padding: 15px;
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  #main-ame-back h1{
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<img src="https://pbs.twimg.com/media/GKJ6VOdbIAAo2yr?format=png&name=900x900"></img>



<div id="main-ame-back">

<div style="font-size:40px;color: #ebb4dd;font-weight:bolder;">ジェルばんは~</div>

  <br>
<h1>🧬UPDATE: Please see <a href="https://huggingface.co/raincandy-u/Rain-7B-v0.2">Here</a> for v0.2 model.</h1>
<h1>🧬Rain-7B-v0.1</h1>


Rain-7B-v0.1 is an experimental model finetuned on <a href="https://huggingface.co/Qwen/Qwen1.5-7B-Chat">Qwen1.5-7B-Chat</a> with thousands of <b>chain of thought</b> conversations.

It work better for `"think step by step"` prompt.

<h1>🧬Evaluation</h1>
  
|Model name|MMLU|
|---|---|
|Qwen1.5-7B-Chat|55.8|
|Rain-7B-v0.1|58.1|

<h1>🧬Usage</h1>

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "raincandy-u/Rain-7B-v0.1"
messages = [{"role": "user", "content": "What is chain of thoughts?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```

</div>


