From 1045963959ddfb697898fa90476f837aae4e2881 Mon Sep 17 00:00:00 2001 From: "Danilo M." Date: Wed, 1 Apr 2026 22:56:07 +0200 Subject: repo: move all packages under SlackBuilds/ subfolder Reorganize repository by moving all 11 package directories into a new SlackBuilds/ subfolder. Update README.md, CLAUDE.md, and hooks/post-commit to reflect the new path structure. Co-Authored-By: Claude Sonnet 4.6 --- llama.cpp-vulkan/README | 22 ---------------------- 1 file changed, 22 deletions(-) delete mode 100644 llama.cpp-vulkan/README (limited to 'llama.cpp-vulkan/README') diff --git a/llama.cpp-vulkan/README b/llama.cpp-vulkan/README deleted file mode 100644 index 5509d44..0000000 --- a/llama.cpp-vulkan/README +++ /dev/null @@ -1,22 +0,0 @@ -llama.cpp - -LLM inference in C/C++ - -The main goal of llama.cpp is to enable LLM inference with minimal -setup and state-of-the-art performance on a wide range of hardware -locally and in the cloud. - - - Plain C/C++ implementation without any dependencies - - Apple silicon is a first-class citizen - optimized via ARM NEON, - Accelerate and Metal frameworks - - AVX, AVX2, AVX512 and AMX support for x86 architectures - - RVV, ZVFH, ZFH, ZICBOP and ZIHINTPAUSE support for RISC-V - architectures - - 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer - quantization for faster inference and reduced memory use - - Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for - AMD GPUs via HIP and Moore Threads GPUs via MUSA) - - Vulkan and SYCL backend support - - CPU+GPU hybrid inference to partially accelerate models larger than - the total VRAM capacity - -- cgit v1.2.3