xlangai/VideoAgentTrek-IDM-s1-7B
VISIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:32kPublished:Oct 20, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
The xlangai/VideoAgentTrek-IDM-s1-7B is a 7 billion parameter model developed by xlangai, designed for video agent applications. With a substantial context length of 32768 tokens, this model is optimized for processing extensive video-related data and complex interaction sequences. Its primary strength lies in enabling sophisticated video agent behaviors and intelligent decision-making within video-centric environments.
Loading preview...
xlangai/VideoAgentTrek-IDM-s1-7B Overview
The xlangai/VideoAgentTrek-IDM-s1-7B is a 7 billion parameter model developed by xlangai, specifically engineered for advanced video agent applications. It features a significant context window of 32768 tokens, allowing it to handle long and intricate sequences of video data and interactions.
Key Capabilities
- Video Agent Functionality: Designed to power intelligent agents that operate within video environments.
- Extended Context Handling: Benefits from a 32768-token context length, crucial for understanding complex, time-series video information and maintaining conversational or operational coherence over extended periods.
- Decision-Making in Video Contexts: Optimized for intelligent decision-making and action generation based on video input.
Good For
- Developing sophisticated video agents that require deep contextual understanding.
- Applications involving long-form video analysis and interaction.
- Scenarios where agents need to process and respond to complex visual and temporal information.