Model CoverageVision Language Models

InternVL

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InternVL is a vision language model from Shanghai AI Laboratory (OpenGVLab), combining a large vision encoder with an InternLM language backbone for strong multimodal performance.

TaskImage-Text-to-Text
ArchitectureInternVLForConditionalGeneration
Parameters4B – 8B
HF OrgOpenGVLab

Available Models

  • InternVL3.5-4B
  • InternVL3.5-8B

Architecture

  • InternVLForConditionalGeneration

Example HF Models

ModelHF ID
InternVL3.5 4BOpenGVLab/InternVL3_5-4B

Example Recipes

RecipeDatasetDescription
internvl_3_5_4b.yamlMedPix-VQASFT — InternVL3.5 4B on MedPix

Try with NeMo AutoModel

1. Install (full instructions):

$pip install nemo-automodel

2. Clone the repo to get the example recipes:

$git clone https://github.com/NVIDIA-NeMo/Automodel.git
$cd Automodel

3. Run the recipe from inside the repo:

$automodel --nproc-per-node=8 examples/vlm_finetune/internvl/internvl_3_5_4b.yaml

1. Pull the container and mount a checkpoint directory:

$docker run --gpus all -it --rm \
>  --shm-size=8g \
>  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
>  nvcr.io/nvidia/nemo-automodel:26.06.00

2. Navigate to the AutoModel directory (where the recipes are):

$cd /opt/Automodel

3. Run the recipe:

$automodel --nproc-per-node=8 examples/vlm_finetune/internvl/internvl_3_5_4b.yaml

See the Installation Guide and VLM Fine-Tuning Guide.

Fine-Tuning

See the VLM Fine-Tuning Guide.

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