GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
CodeGoat24
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
CodeGoat24
Model Tree
Qwen/Qwen3.8-27B
Input Modalities
Output Modalities
Supported Functionality
bash
git clone https://github.com/CodeGoat24/WorldRewardcd WorldReward && pip install -e . python examples/run_single_pair.py \ --input-image my_data/scene.jpg \ --left-video my_data/system_x.mp4 \ --right-video my_data/system_y.mp4 \ --caption "A sunlit street lined with colorful European-style buildings." \ --actions forward,forward,left+camera_down \ --frames-per-action 8 \ --show-reasoningInference needs vLLM new enough to register Qwen3_5ForConditionalGeneration:
bash
python -c "from vllm.model_executor.models.registry import ModelRegistry as R; \ print('Qwen3_5ForConditionalGeneration' in R.get_supported_archs())"bibtex
@article{wang2026worldreward, title={WorldReward: Reward Modeling for Camera-Conditioned World Models}, author={Wang, Yibin and Wang, Zehan and Tang, Junshu and Li, Zhimin and Zhou, Yujie and Bu, Jiazi and Ling, Pengyang and Han, Feng and Zhang, Zhixiong and Xing, Long and others}, journal={arXiv preprint arXiv:2609.03952}, year={2026}}