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Em-Garde-7B
fredzheng/Em-Garde-7B
Em-Garde-7B is a machine learning model from fredzheng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Em-Garde-7B is a language model designed for low-latency streaming video understanding. It is the IGPP Module of the Em-Garde framework, producing candidate proposals to be matched by the downstream embedding module.
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At a glance
- License
- apache-2.0
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Mar 12, 2026
- Updated
- Mar 21, 2026
- SHA
- 052261ba
Model card
From the Hugging Face model README
Em-Garde-7B
Em-Garde-7B is a language model designed for low-latency streaming video understanding.
It is the IGPP Module of the Em-Garde framework, producing candidate proposals to be matched by the downstream embedding module.
Em-Garde is intended for use in systems that perform proactive streaming video understanding, such as video assistants, interactive agents, and robotics perception pipelines.
Model Description
- Model name: Em-Garde-7B
- Parameters: ~7 billion
- Architecture: Transformer-based causal language model
- Primary role: Proposal generation for streaming video reasoning
- Designed for: Low-latency and streaming-compatible inference
Training Pipeline
Em-Garde-7B is initialized from Qwen2.5-VL-7B-Instruct and finetuned through SFT and RL stages.
- Type
- qwen2_5_vl
- License
- apache-2.0
- Created
- Mar 12, 2026
- Updated
- Mar 21, 2026