Model card
Granite Vision 3.3 2B is a lightweight vision-language model designed for efficient image-to-text processing. At 2 billion parameters, it targets developers who need a low-latency solution for visual understanding without the overhead of massive frontier models. It is particularly effective for OCR tasks, image captioning, and visual question answering (VQA) where local deployment or edge computing is a priority. Licensed under Apache-2.0, it offers significant flexibility for commercial integration. Compared to larger VLM alternatives, it prioritizes a smaller memory footprint and faster inference speeds, making it an ideal candidate for embedding into real-time applications or pipelines requiring rapid visual analysis.
Model files and versions
Download this model
We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
ibm-granite/granite-vision-3.3-2bInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model ibm-granite/granite-vision-3.3-2bREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model ibm-granite/granite-vision-3.3-2b README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('ibm-granite/granite-vision-3.3-2b')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/ibm-granite/granite-vision-3.3-2b.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/ibm-granite/granite-vision-3.3-2b.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
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