Models

QwenVL vs. LLaVA

Both

QwenVL

and

LLaVA

are commonly used in computer vision projects. Below, we compare and contrast

QwenVL

and

LLaVA

.

  QwenVL LLaVA
Date of Release
Model Type Multimodal Model Object Detection
Architecture
GitHub Stars 1900

We ran seven tests across five state-of-the-art Large Multimodal Models (LMMs) on November 23rd, 2023. QwenVL passed at five of seven tests and LLaVA passed at one of seven tests. Here are the results:

Based on our tests, QwenVL performs better across different multimodal tasks than LLaVA.

Read more of our analysis.

Download the raw image results from our analysis.

QwenVL

Qwen-VL is an LMM developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

LLaVA

LLaVA is an open source multimodal language model that you can use for visual question answering and has limited support for object detection.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Compare QwenVL to other models

Compare LLaVA to other models

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started