Model Card for Omni DeepSeek

Model Training Details

Model Description

I've trained an interesting text-image-video CoT LLM through image-text space alignment, CoT-SFT warm-up, and GRPO training. I've observed that this model can provide more accurate answers through Chain-of-Thought reasoning, particularly excelling in complex instruction following and formatted output.

Developed by: princepride
Model type: text-image-video CoT LLM

Model Sources

Demo :
It can analysis the video with chain of thought to output a better result
Input :
Output :
Because chain of thought, it can better follow complex instructions and generate accurately formatted output:
Input :
Output :

Uses(At least 24GB of VRAM is required)

pip install -r requirements.txt

streamlit run app.py