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