github llama.cpp · 12h ago · inference

llama.cpp b10645 adds --n-cpu-ffn to offload dense FFN weights

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The llama.cpp project released build b10645, introducing the new --n-cpu-ffn command-line option. This feature allows users to specify the number of layers whose dense feed-forward network (FFN) weights are offloaded to the CPU.

Adds --n-cpu-ffn to control CPU offloading of dense FFN weights for the first N layers.
Deduplicates override loops for --n-cpu-moe and --spec-draft-n-cpu-moe options.
Generalizes llm_ffn_block_regex over the FFN regex pattern.

The release provides binaries for macOS, Linux, Windows, Android, and openEuler across CPU, GPU (CUDA, Vulkan, ROCm, OpenCL), and AI accelerator backends.

Importance 1/3 Trust 1/3 llama.cpp Inference efficiency Local inference

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llama.cpp b10662 adds ctx-per-slot for unified KV cache

The llama.cpp project released build b10662, introducing a new `--kv-unified-per-slot` argument that allows users to specify context per slot for the unified KV cache. This change replaces the previous context fraction mechanism with context pool slots and refactors the underlying implementation.

github llama.cpp · 1h ago · 1 view Live

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github llama.cpp · 2h ago · 1 view

llama.cpp b10658 adds DFlash2 support and fixes mrope bug

The llama.cpp project released build b10658, introducing support for the DFlash2 specification which includes local convolution and a candidate selector. This update also addresses a specific mrope bug within the codebase.

github llama.cpp · 2h ago · 1 view

llama.cpp bundles HIP runtime DLLs with Windows ROCm release

The llama.cpp project has updated its Windows ROCm release to bundle the necessary HIP runtime DLLs directly alongside the binaries. This change addresses issue #26929 by ensuring the correct HIP runtime loads instead of potentially conflicting with the driver's copy in System32.

github llama.cpp · 3h ago · 1 view

llama.cpp b10656 caps working memory to avoid loading big tensors onto RAM

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