---
library_name: peft
base_model: Qwen/Qwen-7B-Chat-Int4
---


# Introduction

Qwen-7B finetuned on a parallel corpus for translation between Kanbun (漢文) and its Kakikudashibun (書き下し文).


# Examples

```python
response, history = model.chat(tokenizer, "冀靈體之復形，御輕舟而上溯。", history=None)
print(response)
```
```
冀して靈体の復形、軽舟に御して上溯せんとし
```

```python
response, history = model.chat(tokenizer, "鳥欲高飛先振翅，人求上進則讀書。", history=None)
print(response)
```
```
鳥の高飛するを欲すれば先づ翼を振ふ、人の上の前に進むを求めて則ち書を読む。
```

```python
response, history = model.chat(tokenizer, "浮長川而忘返，思綿綿而增慕。", history=None)
print(response)
```

```
長川に浮かして返らざるを、締結の绵綿にして慕うを増す。
```

```python
response, history = model.chat(tokenizer, "夜耿耿而不寐，沾繁霜而至曙。", history=None)
print(response)
```

```
夜は耿耿として寐りず、繁霜に沾れて曙を至る。
```


# Model Card for Model ID

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### Framework versions

- PEFT 0.11.1