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Model: sliderSun/Qwen1.5-7B-POI
Source: Original Platform
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2026-05-21 06:24:13 +08:00
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---
frameworks:
- Pytorch
license: Apache License 2.0
tasks:
- text-generation
#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
```
{
"instruction": "1.输入: \n POI1名称 \n POI1地址 \nPOI2名称 \nPOI2地址 \nPOI1和POI2的距离\n 2.进行品牌判断:\n 如果两个POI都提供了品牌信息可以提取品牌名称,检查品牌是否相同,如果不一致,直接输出'不重复',例如礼敬咖啡和源咖啡(建国门店)输出'不重复',否则进行下一步检查。\n3.进行主子点判断: \n如果一个POI的名称是另一个POI的主子点比如'火车站'和'火车站进站口''保险'和'保险客户服务中心',则输出'不重复',否则进行下一步检查。\n4.名称匹配: \n检查POI1名称和POI2名称是否完全一致提取主体词、行政区划、修饰词、业务词、行业词、分店等要素如果不一致直接输出'不重复',一个是公司一个不是公司,输出'不重复',否则进行下一步检查。\n5.地址匹配:\n检查POI1地址和POI2地址是否完全一致可以提取地址要素综合判断如果完全一致输出'重复';如果完全不一致,输出'不重复';否则进行下一步检查。\n6.距离判断:\n 依据POI1和POI2的实际空间距离并根据具体情况动态设定合理的距离阈值范围。如果距离超过阈值范围则输出不重复否则输出重复。\n 7.输出:\n根据以上步骤的检查结果优先保证重复准确率达到98%,提高重复的召回率。输出最终判断'重复'或'不重复'。",
"input": "POI1名称是兔途体检十里堡店、地址是八里庄石佛营路北里号楼POI2名称是兔途体检八里庄北里小区店、地址是石佛营路北里号楼两个POI的距离是7米请按照思维链的方式输出两个POI是否是重复。",
"output": "重复"
}
```
---
### 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('sliderSun/Qwen1.5-7B-POI')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/sliderSun/Qwen1.5-7B-POI.git
```
<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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"architectures": [
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"initializer_range": 0.02,
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"max_window_layers": 28,
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}
}

20
special_tokens_map.json Normal file
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@@ -0,0 +1,20 @@
{
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>"
],
"eos_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}

44
tokenizer_config.json Normal file
View File

@@ -0,0 +1,44 @@
{
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151644": {
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151645": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>"
],
"bos_token": null,
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message + '\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '\\nAssistant: ' }}{% elif message['role'] == 'assistant' %}{{ content + '<|endoftext|>' + '\\n' }}{% endif %}{% endfor %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"errors": "replace",
"model_max_length": 32768,
"pad_token": "<|endoftext|>",
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

151645
vocab.json Normal file

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