thuml

This model specializes in time series forecasting, utilizing 128 million parameters. It is trained on diverse datasets, including UTSD and Salesforce's large datasets, to provide accurate predictions for various time-dependent data.

See https://github.com/thuml/RLVR-World for examples for using this model.

See https://github.com/thuml/RLVR-World for examples for using this model.

See https://github.com/thuml/RLVR-World for examples for using this model.

See https://github.com/thuml/RLVR-World for examples for using this model. ``` @article{wu2025rlvr, title={RLVR-World: Training World Models with Reinforcement Learning}, author={Jialong Wu and Shaofeng Yin and Ningya Feng and Mingsheng Long}, journal={arXiv preprint arXiv:2505.13934}, year={2025}, }

See https://github.com/thuml/RLVR-World for examples for using this model. ``` @article{wu2025rlvr, title={RLVR-World: Training World Models with Reinforcement Learning}, author={Jialong Wu and Shaofeng Yin and Ningya Feng and Mingsheng Long}, journal={arXiv preprint arXiv:2505.13934}, year={2025}, }

See https://github.com/thuml/RLVR-World for examples for using this model. ``` @article{wu2025rlvr, title={RLVR-World: Training World Models with Reinforcement Learning}, author={Jialong Wu and Shaofeng Yin and Ningya Feng and Mingsheng Long}, journal={arXiv preprint arXiv:2505.13934}, year={2025}, }

See https://github.com/thuml/RLVR-World for examples for using this model. ``` @article{wu2025rlvr, title={RLVR-World: Training World Models with Reinforcement Learning}, author={Jialong Wu and Shaofeng Yin and Ningya Feng and Mingsheng Long}, journal={arXiv preprint arXiv:2505.13934}, year={2025}, }