1from transformers import AutoModelForImageTextToText, AutoProcessor
2
3model = AutoModelForImageTextToText.from_pretrained(
4 "RLWRLD/RLDX-1-VLM",
5 torch_dtype="bfloat16",
6 device_map="cuda:0",
7)
8processor = AutoProcessor.from_pretrained("RLWRLD/RLDX-1-VLM")
For a full architectural walkthrough including how cognition tokens are
wired into this backbone, see
docs/architecture.md.
1@article{rldx2026,
2 title={RLDX-1 Technical Report},
3 author={Kim, Dongyoung and Jang, Huiwon and Koo, Myungkyu and Jang, Suhyeok and Kim, Taeyoung and others},
4 year={2026},
5 note={RLWRLD},
6 eprint={2605.03269},
7 archivePrefix={arXiv},
8 url={https://arxiv.org/abs/2605.03269}
9}
Released under the
RLWRLD Model License v1.0 — a non-commercial license
with attribution and share-alike requirements. See
LICENSE.md for
the full text. By using this model you agree to those terms, including the
use restrictions in §3.5.