What are the hardware requirements for Granite Vision 3.3 2B?

Granite Vision 3.3 2B requires approximately 6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Granite Vision 3.3 2B and how large is it?

Granite Vision 3.3 2B is developed by ibm-granite, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Granite Vision 3.3 2B?

Granite Vision 3.3 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Granite Vision 3.3 2B by ibm-granite — VRAM 6GB

Name: Granite Vision 3.3 2B
Author: ibm-granite

Granite Vision 3.3 2B is an open-source language model by ibm-granite. Features: 2b LLM, VRAM: 6GB, License: apache-2.0, LLM Explorer Score: 0.27.

Arxiv:2502.09927 Image-to-text Llava next Region:us Safetensors Sharded Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-vision-3.3-2b

Granite Vision 3.3 2B Parameters and Internals

LLM Name	Granite Vision 3.3 2B
Repository 🤗	https://huggingface.co/ibm-granite/granite-vision-3.3-2b
Model Size	2b
Required VRAM	6 GB
Updated	2026-08-08
Maintainer	ibm-granite
Model Type	llava_next
Model Files	5.0 GB: 1-of-2 1.0 GB: 2-of-2
Model Architecture	LlavaNextForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	4.50.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	49152
Torch Data Type	bfloat16
Errors	replace

Rank the Granite Vision 3.3 2B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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