Models

CogVLM vs. LLaVA

Both

CogVLM

and

LLaVA

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

CogVLM

and

LLaVA

.

  CogVLM LLaVA
Date of Release
Model Type Multimodal Model Object Detection
Architecture
GitHub Stars 25000

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

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

Read more of our analysis.

CogVLM

that shows strong performanve in Visual Question Answering (VQA) and other vision tasks. CogVLM achieves state-of-the-art performance on a range of vision benchmarks.

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 CogVLM to other models

Compare LLaVA to other models

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