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llama.cpp b11800 adds fused top-k mask op
llama.cpp Releaseshigh confidence
Why it matters
- →Reduces kernel launch overhead for attention masks in Qwen4exp and GLM5-Next models.
- →Extends fused mask support to DeepSeek V4's CSA architecture for broader compatibility.
- →Available on CUDA 13, ROCm 10.0, and KleidiAI, optimizing performance across major hardware platforms.
llama.cpp has released version b11800, featuring a new fused operation for top-k masking in attention layers. The update generalizes the k-pool mask logic into ggml_top_k_mask, optimizing QSA scoring for models such as Qwen4exp and GLM5-Next while supporting DeepSeek V4's CSA build. Binaries are provided for macOS, Linux, Windows, and Android across CPU, GPU (CUDA 12/13, ROCm 10.0, Vulkan), and NPU backends. This release improves inference efficiency for specific architectural patterns without altering model weights.
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How we got here
- 1llama.cpp b9952 Release Enhances DeepSeek V4
llama.cpp Releases · July 11, 2026 · Same story
- 2llama.cpp b10058 release enhances Vulkan support
llama.cpp Releases · July 19, 2026 · Same story
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