metadata
base_model:
- Qwen/Qwen3-VL-8B-Instruct
license: cc-by-nc-4.0
pipeline_tag: video-text-to-text
library_name: transformers
tags:
- video-understanding
- drama
- reasoning
- reinforcement-learning
SAGA_Qwen3-8B
SAGA-finetuned Qwen3-VL-8B model for short-drama video understanding, trained on the M-Drama dataset (SFT + RL).
This model is introduced in Beyond Sparse Rewards: A New Benchmark and Structure-Aware Graph Alignment for Micro-Drama Understanding.
Code: github.com/qyx1121/MDrama_SAGA
Usage
from transformers import AutoProcessor, AutoModelForImageTextToText
import torch
model = AutoModelForImageTextToText.from_pretrained(
"yixin1121/SAGA_Qwen3-8B", torch_dtype=torch.bfloat16, device_map="auto"
)
processor = AutoProcessor.from_pretrained("yixin1121/SAGA_Qwen3-8B")
Training
- Base model: Qwen3-VL-8B-Instruct
- Training data: M-Drama — 32,361 QA annotations over 8,102 short-drama video clips
- Pipeline: SFT followed by RL (DAPO-style, with graph-structure and semantic rewards)
License
CC BY-NC 4.0. This model is intended for research purposes only.