AcciSAGE-C8-SFT
LoRA adapter for AcciSAGE: Error-aware VLM Tuning for Spatio-temporal Grounding of Traffic Accident Videos.
- Task branch: C8 — Accident type classification
- Training: SFT
- Base model:
Qwen/Qwen3-VL-8B-Instruct - Expected output: One of rear-end, t-bone, sideswipe, head-on, or single
This repository contains an adapter and requires Qwen/Qwen3-VL-8B-Instruct as the base model.
Usage
swift infer \
--model Qwen/Qwen3-VL-8B-Instruct \
--adapters yzk9/AcciSAGE-C8-SFT
Task-specific prompts and video preprocessing settings are required. This model was developed for research on traffic-accident video understanding.
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Model tree for yzk9/AcciSAGE-C8-SFT
Base model
Qwen/Qwen3-VL-8B-Instruct