diff --git a/README-en.md b/README-en.md index 7be8b57..4d8fb25 100644 --- a/README-en.md +++ b/README-en.md @@ -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