🤗 HF Model | 💻 GitHub Repo | 📄 Paper > 📦 **Model layout.** This repository hosts **HunyuanOCR-1.5** checkpoint at the root (target base weights). The **DFlash speculative-decoding draft** lives under `dflash/`, and the previous **HunyuanOCR-1.0** is archived under `v1.0/` (load it with `subfolder="v1.0"`, or download the `v1.0/` directory directly). **HunyuanOCR-1.5** is a lightweight, end-to-end OCR-specialized vision-language model. It targets a broad range of text-centric visual tasks and unifies **document parsing, text spotting, information extraction, text-image translation** within a single end-to-end VLM.
Hunyuan1.5 use attention masks with variable-length sequences. For best performance, we recommend using an attention backend that handles padding efficiently. You can check our documentation to learn more about all the different attention backends we support.
Hunyuan1.5 use attention masks with variable-length sequences. For best performance, we recommend using an attention backend that handles padding efficiently. We recommend installing kernels (`pip install kernels`) to access prebuilt attention kernels. You can check our documentation to learn more about all the different attention backends we support.
We would like to thank the contributors to the Stable Diffusion, FLUX, diffusers, HuggingFace, Real-ESRGAN, ZIM, GroundingDINO, MoGe, Worldsheet, WorldGen repositories, for their open research.
