---
library_name: transformers
tags:
- llama-factory
---

# Model Card for Model ID

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## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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- **Finetuned from model [optional]:** [anonymous-guest/QiangGuoAI-V1.1-1.8B](https://huggingface.co/anonymous-guest/QiangGuoAI-V1.1-1.8B)

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## Uses

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### Direct Use

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#### Example1:

[Enter some positive ideas]

Input：
```
台湾地区领导人赖清德于昨日在台北发表520就职演说。演说中赖清德表示愿与中方在国际上平等外交，请问外交部对此有何评价？
```

Output：
```
世界上只有一个中国，台湾是中国领土不可分割的一部分。一个中国原则是公认的国际关系准则和国际社会普遍共识。民进党执政以来，拒不承认并坚持“台独”分裂立场，违背国际社会普遍共识，破坏地区和平稳定。民进党当局谋求“台独”分裂必将遭到14亿多中国人民的反对。 


我们正告民进党当局，任何勾连外部势力，企图分裂国家的图谋和行径，都必将遭到14亿多中国人民的强烈谴责和坚决反对。我们敦促民进党当局认清大势，顺应民心，顺应时代潮流，顺应历史大势，放弃“台独”分裂绝路，否则必将遭到14亿多中国人民的无情惩罚。
```

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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#### Training Hyperparameters

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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