CLeaf_873981784

What are the specific parameter Settings

how to apply the model to my own dataset？

1

is there any pre-trained model for fine-tuning？ if i want to train on my own dataset，what should i do？which file should i start from？ thank u for your amazing work！

launch.py: error: argument --node_rank: invalid int value: ''

2

 follow this step, i want to try toy dataset, but i got error: launch.py: error: argument --node_rank: invalid int value: '' 

no info about kwai-videoLLM on the MVBench Leaderboard

1

what is this method？

InternVL-Chat-V1.2的finetune耗时多久？

5

从issue中已经了解了硬件需求   还想了解一下finetune全部LLM和lora分别耗时多久？

different performance between online web demo and local model

6

local chat code: `import torch from PIL import Image from transformers import AutoModel, CLIPImageProcessor from transformers import AutoTokenizer path = "OpenGVLab/InternVL-Chat-Chinese-V1-2" model = AutoModel.from_pretrained( path, torch_dtype=torch.bfloat16, low_cpu_mem_usage=True, trust_remote_code=True, device_map='auto').eval() tokenizer...

why loss is negtive？

1


internvl_chat/shell/internlm2_20b_dynamic/internvl_chat_v1_5_internlm2_20b_dynamic_res_finetune.sh how many gpus are need for finetuning? I noticed that for 1-2 version: Note: fine-tune the full LLM needs 16 A100 80G GPUs, and fine-tune the LoRA needs 2...