Minicpm V Finetune Trainer Py At Main · Openbmb Minicpm V · Github

By switzerlandersing On Sep 12, 2025

MiniCPM-V/finetune/trainer.py At Main · OpenBMB/MiniCPM-V · GitHub

MiniCPM-V/finetune/trainer.py At Main · OpenBMB/MiniCPM-V · GitHub Minicpm v 4.5: a gpt 4o level mllm for single image, multi image and high fps video understanding on your phone minicpm v/finetune/trainer.py at main · openbmb/minicpm v. We provide official scripts for easily fine tuning the pretrained models minicpm v 4.0, minicpm o 2.6, minicpm v 2.6, minicpm llama3 v 2.5, and minicpm v 2.0 on downstream tasks. the fine tuning scripts use transformerstrainer and deepspeed by default. this section takes minicpm o 2.6 as an example.

MiniCPM-V和OmniLMM都支持中文吗？ · Issue #54 · OpenBMB/MiniCPM-V · GitHub

MiniCPM-V和OmniLMM都支持中文吗？ · Issue #54 · OpenBMB/MiniCPM-V · GitHub We will release the code for fine tuning in a few weeks, please watch https://github.com/openbmb/omnilmm for the updates. This guide has covered the essential aspects of getting started with fine tuning minicpm models. after completing the fine tuning process, you'll have a model adapted to your specific task that can be used for inference. We offer the official scripts for easy finetuning of the pretrained **minicpm o 2 6**, **minicpm v 2 6**, **minicpm llama3 v 2.5** and **minicpm v 2.0** on downstream tasks. our finetune scripts use transformers trainer and deepspeed by default. We offer the official scripts for easy finetuning of the pretrained minicpm v 4.0, minicpm o 2.6, minicpm v 2.6, minicpm llama3 v 2.5 and minicpm v 2.0 on downstream tasks. our finetune scripts use transformers trainer and deepspeed by default.

The Training Details In Minicpm-v · Issue #197 · OpenBMB/MiniCPM-V · GitHub

The Training Details In Minicpm-v · Issue #197 · OpenBMB/MiniCPM-V · GitHub We offer the official scripts for easy finetuning of the pretrained **minicpm o 2 6**, **minicpm v 2 6**, **minicpm llama3 v 2.5** and **minicpm v 2.0** on downstream tasks. our finetune scripts use transformers trainer and deepspeed by default. We offer the official scripts for easy finetuning of the pretrained minicpm v 4.0, minicpm o 2.6, minicpm v 2.6, minicpm llama3 v 2.5 and minicpm v 2.0 on downstream tasks. our finetune scripts use transformers trainer and deepspeed by default. In this blog, we’ll dive deep into fine tuning minicpm v to customize it for your specific needs. ready to get started? let’s go! 🚀. why finetuning? fine tuning allows you to adapt a. Minicpm v 2.6: a gpt 4v level mllm for single image, multi image and video on your phone minicpm v/finetune/finetune.py at main · openbmb/minicpm v. The inference with minicpm v is flawless, but issues arise during the fine tuning process. the fine tuning code used is from https://github.com/openbmb/minicpm v/tree/main. You can find and review the training script here: finetune ds.sh. to launch your training, run the following script: after training, you could load the model with the path to the adapter. we advise you to use absolute path for your pretrained model.

Deploy MiniCPM-V 2.5 With Vllm · Issue #107 · OpenBMB/MiniCPM-V · GitHub

Deploy MiniCPM-V 2.5 With Vllm · Issue #107 · OpenBMB/MiniCPM-V · GitHub In this blog, we’ll dive deep into fine tuning minicpm v to customize it for your specific needs. ready to get started? let’s go! 🚀. why finetuning? fine tuning allows you to adapt a. Minicpm v 2.6: a gpt 4v level mllm for single image, multi image and video on your phone minicpm v/finetune/finetune.py at main · openbmb/minicpm v. The inference with minicpm v is flawless, but issues arise during the fine tuning process. the fine tuning code used is from https://github.com/openbmb/minicpm v/tree/main. You can find and review the training script here: finetune ds.sh. to launch your training, run the following script: after training, you could load the model with the path to the adapter. we advise you to use absolute path for your pretrained model.

Finetuned MiniCPM-V2.5 Erro · Issue #93 · OpenBMB/MiniCPM-V · GitHub

Finetuned MiniCPM-V2.5 Erro · Issue #93 · OpenBMB/MiniCPM-V · GitHub The inference with minicpm v is flawless, but issues arise during the fine tuning process. the fine tuning code used is from https://github.com/openbmb/minicpm v/tree/main. You can find and review the training script here: finetune ds.sh. to launch your training, run the following script: after training, you could load the model with the path to the adapter. we advise you to use absolute path for your pretrained model.