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@ -190,18 +190,28 @@ Instead of conducting in-depth optimization for deployment on mobile phones, we
|iPhone 12 Pro|iOS 16.5.1|A14|6|5.8|
|iPhone 12|iOS 17.2.1|A14|4|5.8|
|iPhone 11|iOS 16.6|A13|4|4.6|
![多模态样例](https://github.com/OpenBMB/OmniLMM/blob/main/assets/Snake_cn_Mushroom_en.gif)
## Demo & API
#### Web-demo based on Gradio
Launch gradio-based demo using the following command:
Using the following command can launch the gradio-based demo.
```shell
python demo/gradio_based_demo.py
```
## Fine-tuning
* Parameter-efficient Tuning
* With parameter-efficient tuning, we can tune MiniCPM using one piece of NVIDIA GeForce GTX 1080/2080.
* [Code for Parameter-efficient Tuning](https://github.com/OpenBMB/MiniCPM/tree/main/finetune)
* Full-parameter Tuning
* Using [BMTrain](https://github.com/OpenBMB/BMTrain)as well as checkpointing and ZeRO-3 (zero redundancy optimizer)we can tune all parameters of MiniCPM using one piece of NVIDIA GeForce GTX 3090/4090.
* This code will be available soon.
##
## LICENSE
@ -214,7 +224,6 @@ This repository is released under the [Apache-2.0](https://github.com/OpenBMB/Mi
The models and weights of MiniCPM are completely free for academic research. If you need to use MiniCPM for commercial purposes, feel free to contact cpm@modelbest.cn for obtaining written authorization. After registration, free commercial usage is also allowed.
#### Disclaimer
<!-- 作为一个语言模型MiniCPM 通过学习大量的文本来生成内容,但它无法理解、表达个人观点或价值判断,它所输出的任何内容都不代表模型开发者的观点和立场。
@ -227,10 +236,9 @@ Users are responsible for the evaluation and verification of all generated conte
## Citation
Please cite our [techinical report]() if you find our work valuable.
```
@inproceedings{han2022bminf,
title={MiniCPM: todo},
@inproceedings{minicpm2024,
title={MiniCPMUnveiling the Potential of End-side Large Language Models},
booktitle={OpenBMB Blog},
year={2024}
}