# DLSS 5 Neural Rendering: reconstructing a runtime model from DLL analysis > DLSS 5 Neural Rendering reconstructs parts of NVIDIA's model from static analysis of nvngx_dlssnr.dll 310.8.0.0 shipped with NBA 2K27. It documents a 153-record weight container, a 71-block Swin/ViT structure and numerical references for selected operators. The author reports byte-for-byte agreement for one FFN operator across 24 comparisons. - Type: Case study - Targets: Binary - Category: Independent reconstruction cases - Relationship: Independent reconstruction project - Sources reviewed: 2026-11-09 - Added to the catalog: 2026-11-09 - Original resource: - Primary source: - Catalog page: - Record JSON: - Chinese version: [简体中文](https://awesomerea.org/zh/resources/dlss5-nr-reverse-engineering-case/index.md) ## Requirements & limits - **Prerequisites:** The readers require the user's own copy of nvngx_dlssnr.dll 310.8.0.0 and its extracted WEIGHTS_HT resource. - **Prerequisites:** Parsing, references and tests use PyTorch 2.14.0+cpu; native comparison requires a Blackwell GPU. - **Limits:** A full forward pass and most operator comparisons remain unfinished. - **License:** No licence stated on the project page. ## Primary sources 1. ## More in Native binaries - [linux-apfs-rw: reconstructing APFS support in a Linux kernel module](https://awesomerea.org/resources/linux-apfs-rw-case/index.md) · Case study - [Ghidra](https://awesomerea.org/resources/ghidra/index.md) · Tool - [radare2](https://awesomerea.org/resources/radare2/index.md) · Tool - [Cutter](https://awesomerea.org/resources/cutter/index.md) · Tool - [Qiling](https://awesomerea.org/resources/qiling/index.md) · Tool - [Unicorn Engine](https://awesomerea.org/resources/unicorn/index.md) · Tool ## About this entry The description was reviewed against primary sources. Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.