Models
CogVLM vs. BakLLaVA

CogVLM vs. BakLLaVA

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

Models

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CogVLM

CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks.
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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
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
4.7k+
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650
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License
Apache-2.0
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Apache-2.0
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Training Notebook
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Compare CogVLM and BakLLaVA with Autodistill

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

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

Read more of our analysis.

Compare CogVLM 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.