Worked on stability and compatibility improvements for the ggml-org/llama.cpp repository, focusing on the DSA indexer-loading mechanism to support GLM-5.2 model variants. Addressed load-time errors by implementing optional loading of DSA indexer tensors, allowing layers without an indexer to function correctly with MLA attention. This approach decoupled the presence of DSA tensors from being mandatory, reducing failure modes related to missing tensors and broadening model compatibility. The work maintained runtime performance for supported layers and aligned loader behavior with GLM-5.2 requirements. Utilized C++ programming, machine learning concepts, and model optimization techniques to enhance robustness and cross-variant support.