llama.cpp

e1cb8174 - memory: respect unified KV cache in hybrid memory for eval tasks (#21224)

memory: respect unified KV cache in hybrid memory for eval tasks (#21224) The hybrid memory paths (`llama-memory-hybrid.cpp` and `llama-memory-hybrid-iswa.cpp`) always used sequential equal split, ignoring the unified KV cache flag. This caused hellaswag, winogrande, and multiple-choice evaluations to fail on hybrid models (models with both attention and recurrent/SSM layers, such as Qwen3.5-35B-A3B) with: split_equal: sequential split is not supported when there are coupled sequences in the input batch (you may need to use the -kvu flag) PR #19954 fixed this for `llama-kv-cache-iswa.cpp` by automatically enabling unified KV mode and setting n_parallel >= 4 for multi-choice eval tasks. However, the hybrid memory paths were not updated. This commit mirrors the iswa fix: use non-sequential split when KV cache is unified (n_stream == 1), which is automatically set by llama-perplexity for hellaswag/winogrande/multiple-choice since #19954. Tested on Qwen3.5-35B-A3B (hybrid attention+SSM MoE model): - HellaSwag: 83.0% (400 tasks) - Winogrande: 74.5% (400 tasks) - MMLU: 41.2% - ARC-Challenge: 56.2% - TruthfulQA: 37.7% All previously failed with llama_decode() error.