---
title: lyraBELLE
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/lyraBELLE"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/lyraBELLE.md"
repository: AI-ModelScope/lyraBELLE
last_updated: 2024-11-21
license: apache-2.0
library_name:
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 1829
stars: 0
tags:
  - LLM
  - BELLE
---

# lyraBELLE

> lyraBELLE - AI-ModelScope 在 ModelScope 开源的模型。Model Card for lyraBELLE

AI-ModelScope/lyraBELLE 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可。

- **Repository**: AI-ModelScope/lyraBELLE
- **License**: apache-2.0
- **Tags**: LLM, BELLE
- **Downloads**: 1829
- **Stars**: 0
- **Last updated**: 2024-11-21

Source: https://www.modelscope.cn/models/AI-ModelScope/lyraBELLE

---

## Model Card for lyraBELLE

lyraBELLE is currently the **fastest BELLE model** available. To the best of our knowledge, it is the **first accelerated version of BELLE**.

The inference speed of lyraBELLE has achieved **3.3x+** acceleration upon the original version.

Among its main features are:

- weights: the original BELLE-7B-2M weights released by BelleGroup.
- device: Nvidia Ampere architechture or newer (e.g., A100)

Note that:
**Some interface/code were set for future uses(see demo below).**

- **int8 mode**: not supported yet, please always set it at 0 
- **data type**: only `fp16` available.



## Speed

### test environment

- device: Nvidia A100 40G
- warmup: 10 rounds
- percision: fp16
- batch size: 64
- language: Chinese, keep the same in a batch.
- do_sample: True, the model will generate slightly different answsers to the same questions.


|version|speed|
|:-:|:-:|
|original|826.34 tokens/sec|
|lyraBELLE|2701.71 tokens/sec|




## Model Sources

- **Repository:** [https://huggingface.co/BelleGroup/BELLE-7B-2M?clone=true]

## Environment

- **docker image available** at [https://hub.docker.com/repository/docker/bigmoyan/lyrallm/general], pull image by: 

```
docker pull bigmoyan/lyrallm:v0.1
```

## Uses

```python

from lyraBelle import LyraBelle

data_type = "fp16"
prompts = "今天天气大概 25度，有点小雨，吹着风，我想去户外散步，应该穿什么样的衣服裤子鞋子搭配。"
model_dir = "./model"
model_name = "1-gpu-fp16.h5"
max_output_length = 512

# int8 mode not supported, data_type only support fp16
model = LyraBelle(model_dir, model_name, data_type, 0)
output_texts = model.generate(prompts, output_length=max_output_length,top_k=30, top_p=0.85, temperature=0.35, repetition_penalty=1.2, do_sample=True)
print(output_texts)
```
## Demo output

### input
今天天气大概 25度，有点小雨，吹着风，我想去户外散步，应该穿什么样的衣服裤子鞋子搭配。

### output
建议穿着一件轻便的衬衫或T恤、一条牛仔裤和一双运动鞋或休闲鞋。如果下雨了可以带上一把伞。


## Citation
``` bibtex
@Misc{lyraBELLE2023,
  author =       {Kangjian Wu, Zhengtao Wang, Bin Wu},
  title =        {lyraBELLE: Accelerating BELLE by 3x+},
  howpublished = {\url{https://huggingface.co/TMElyralab/lyraBELLE},
  year =         {2023}
}
```

## Report bug
- start a discussion to report any bugs!--> https://huggingface.co/TMElyralab/lyraBELLE/discussions
- report bug with a `[bug]` mark in the title.