InternVL

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I am trying to load InternVL3_5-241B-A28B for inference, but I always encounter an out-of-memory (OOM) error. Here is the script I used: lmdeploy serve api_server OpenGVLab/InternVL3_5-241B-A28B \ --server-port 23333 \...

y-rok

### Checklist - [x] 1. I have searched related issues but cannot get the expected help. - [x] 2. The bug has not been fixed in the latest version. -...

Cloud-Jowen

Question about ViCO loss

2

Thank you for releasing such amazing work. I would like to ask a few questions regarding the ViCO loss described in the Visual Consistency Learning section. 1. The compression rate...

youngxie0702

Hi, i am using InternVL3.5 38B, and I am encountering the issue of the model generating two thinking traces sequentially instead of only one. This results in this kind of...

brioAI

### 📚 The doc issue Hello, thank you for your incredible work! Previously I always used your [documentation](https://internvl.readthedocs.io/en/latest/internvl3.0/finetune.html) to check needed amount of memory to tune the models. Before it...

Bezdarnost

mmstar dataset

1

I deployed the InternVL3_5-241B-A28B model and tested it on the mmstar benchmark, but the accuracy I got was only 73.76%. I'd like to know how the paper came up with...

jhxiang

internvl35 OOM

2

transformers==4.52.1 torchrun \ internvl/train/internvl_chat_finetune.py \ --model_name_or_path ${MODEL_PATH} \ --conv_style "internvl2_5" \ --use_liger True \ --use_fast_tokenizer False \ --output_dir ${OUTPUT_DIR} \ --meta_path ${META_PATH} \ --overwrite_output_dir False \ --force_image_size 112 \ --max_dynamic_patch...

black-tea01

Finetuning on Video Question answering

2

HI, is there a guide on how to fine tune the InternVL model series on video question answering dataset?

shahedmomenzadeh

InternVL3.5-Flash 开源

2

您好，请问InternVL3.5-Flash 模型以及推理代码可以开源吗？

HusterRC

wzr0108