Keep failed DSpark command diagnostics and report snapshot prompt/context settings. Extend release checks for attention boundaries, usable ROCm memory, repeated vision embeddings and bounded speculative replay.
Record focused GLM and Flash quality, SSD, batching and performance results, including the cold-prefill cost and remaining long-context API and release-matrix gaps.
Implement GLM 5.3 Q2 and Q4 inference across Metal and CUDA, including tensor parallelism, RDMA, batching, MTP, snapshots, SSD streaming, and GLM 5.2 shared-path improvements.
Add quantization and validation tools, official quality fixtures, model downloads, regression coverage, release QA, and user documentation.