Kosmos-2 model is a groundbreaking multimodal large language model (MLLM). Kosmos-2 is designed to ground text to the visual world, enabling it to understand and reason about visual elements in images.

Terms of use

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References(s):

KOSMOS-2 paper

Model Architecture:

Architecture Type: Transformer
Network Architecture: GPT + CLIP

Input:

Input Format: Red, Green, Blue (RGB) Image + Text
Input Parameters: Temperature, TopP
Other Properties Related to Input: None

Output:

Output Format: Text
Output Parameters: Max output tokens, Bounding boxes
Other Properties Related to Output: None

Supported Operating System(s):

Linux

Inference:

Engine: Triton
Test Hardware: Other