This is a simplified guide to an AI model called Apollo-7b maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
apollo-7b is part of the Apollo family of Large Multimodal Models (LMMs) developed by the team at Apollo-LMMs. These models push the state-of-the-art in video understanding, supporting tasks like long-form video comprehension, temporal reasoning, complex video question-answering, and multi-turn conversations grounded in video content. The Apollo-7B-t32 variant is a 7B parameter model that can process 32 tokens per video frame, outperforming many larger 7B competitors while rivaling even 30B-scale models.
Model inputs and outputs
The apollo-7b model takes in a video file and a prompt or question about the video content. It then generates a detailed, coherent description of the video in response. The model's capabilities extend beyond simple captioning, allowing it to engage in deeper reasoning and understanding of the video.
Inputs
- Video: The input video file to be described
- Prompt: A question or prompt about the video content
Outputs
- Text Description: A detailed, coherent description of the video, generated in response to the input prompt
Capabilities
The apollo-7b model excels at handli...
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