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# Release v5.13.0 ## New Model additions ### KimiK 2.5, 2.6, and 2.7 <img width="1097" height="400" alt="image" src="https://github.com/user-attachments/assets/c24d2232-a9b4-413b-a2c8-58d013b6dfbd" /> This release includes the architecture for Kimi 2.5 which is used

<details open> spec: support spec-draft-p-min in DFlash (#25246) * spec: support spec-draft-p-min in DFlash * dflash: add n_min guard * dflash: guard both n_min and n_max </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/release

<details open> cuda: enable topk-moe fusion for 288 experts (#25267) * cuda: enable topk-moe fusion for 288 experts The topk-moe fusion only accepted power-of-2 expert counts (or the special-cased 576), so models with 288 experts (e.g. Step-3.7-Flash) fell back to the unfused

<details open> server + ui: ping silent SSE streams every 1s and kick only after 3s so slow prefill never drops healthy connections (#25241) * server + ui: ping silent SSE streams every 1s and kick only after 3s so slow prefill never drops healthy connections * server + ui: ss

<details open> Remove redundant CUDA copies after gated_delta_net. (#23940) * Remove redundant CUDA copies after gated_delta_net. Currently, GDN writes recurrent state snapshots into its output tail, then the graph immediately copies those snapshots into ssm_states_all. With M

<details open> vendor : update cpp-httplib to 0.49.0 (#25218) </details> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b9861/llama-b9861-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](