llama.cpp : bump version to 0.4.0 - #28386
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Overview
llama.cpp 0.4.0 adds initial Qwen3.8-Flash-Next and Nemotron-3-Puzzle support, on-demand tensor reading, per-slot server context limits, video input options, and a ggml update to 0.23.0 with major sparse flash attention and RDMA work.
API changes
llama_lazy_modeandlazy_mode(#27794).max_buf_sizeto quantize params (#27795).mtmd_input_partandmtmd_tokenize_from_parts()(#28250).mtmd_tokenizeconst-correct (#28310).mtmd_bitmap_init_lazyconst-correct (#28307).mtmd_helper_init_opt(#24318).New models
qwen4exp) architecture support; optimization improvements are still pending (#27742).Core changes
--lazy-mode(#27969).--n-cpu-ffn(#26622).Multi-modality changes
mtmd_tokenize_from_parts()(#28250).--video-*(#24318).Server changes
data:URLs for media (#27735).preserve_reasoningby default (#28174).UI changes
ggml changes
Version 0.23.0 adds new operators and backend scheduling APIs for sparse attention, asynchronous execution, and allocation-dependency tracking. The most notable additions are sparse flash attention (
ggml_flash_attn_ext_set_n_kv_max), RPC event/async APIs, and Apple RDMA transport support. It also includes broad correctness and performance work across CPU, GPU, and accelerator backends.