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Diffstat (limited to 'SlackBuilds/llama.cpp-vulkan/README')
| -rw-r--r-- | SlackBuilds/llama.cpp-vulkan/README | 22 |
1 files changed, 0 insertions, 22 deletions
diff --git a/SlackBuilds/llama.cpp-vulkan/README b/SlackBuilds/llama.cpp-vulkan/README deleted file mode 100644 index 5509d44..0000000 --- a/SlackBuilds/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 - |