Video-Text-to-Text
Safetensors
PEFT
English
custom
lora
video-evaluation
physical-ai
world-model
judge
qwen3.5
Instructions to use NU-World-Model-Embodied-AI/phyjudge-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NU-World-Model-Embodied-AI/phyjudge-9B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
17 days ago
-
infer.py: render the exact eval prompts, disable thinking, pass video metadata
Verified signature- Sub-questions use the q1:/q2: numbering and the per-law questions from the PhyGround repo (evals/sub_questions.py); criterion text matches evals/physics_criteria.py. Rendered prompts are now identical to . - Qwen3.5 thinking is turned off (enable_thinking=False); the judge answers with bare JSON. - Pass video_metadata from qwen-vl-utils>=0.0.14 so frame timestamps are correct (previously defaulted to 24 fps) and fix the crash on transformers 5.x from the per-video fps list. - README: require qwen-vl-utils>=0.0.14 and explain how infer.py relates to the paper's vLLM pipeline. Context: https://github.com/NU-World-Model-Embodied-AI/PhyGround/issues/1a1a8d98
-
docs: mark PhyJudge as a custom video integration
hzeng412dd29a8a -
docs: clarify PhyJudge usage and licensing
hzeng4124755753
-
docs: add arXiv paper link and BibTeX citation
Verified signatureeea7ae8
-
De-anonymize: drop residual 'sanitized' wording
Verified signature06d4dfd -
Initial release: phyjudge-9B LoRA judge adapter
Verified signature4aee60a -
initial commit
Verified signaturebd06ea3