Models
QwenVL vs. BakLLaVA

QwenVL vs. BakLLaVA

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

Models

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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.
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BakLLaVA

BakLLaVA is an LMM developed by LAION, Ontocord, and Skunkworks AI. BakLLaVA uses a Mistral 7B base augmented with the LLaVA 1.5 architecture.
Model Type
Multimodal Model
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Multimodal Model
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
3.3k+
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650
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License
Tongyi Qianwen
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Apache-2.0
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Training Notebook
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Compare QwenVL and BakLLaVA with Autodistill

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 BakLLaVA passed at one of seven tests. Here are the results:

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

Read more of our analysis.

Compare QwenVL vs. BakLLaVA

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.