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Diffstat (limited to 'README.md')
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@@ -63,7 +63,7 @@ The main goal of `llama.cpp` is to run the LLaMA model using 4-bit integer quant - AVX, AVX2 and AVX512 support for x86 architectures - Mixed F16 / F32 precision - 2-bit, 3-bit, 4-bit, 5-bit, 6-bit and 8-bit integer quantization support -- CUDA, Metal and OpenCL GPU backend support +- CUDA, Metal, OpenCL, SYCL GPU backend support The original implementation of `llama.cpp` was [hacked in an evening](https://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022). Since then, the project has improved significantly thanks to many contributions. This project is mainly for educational purposes and serves @@ -599,6 +599,15 @@ Building the program with BLAS support may lead to some performance improvements You can get a list of platforms and devices from the `clinfo -l` command, etc. +- #### SYCL + + SYCL is a higher-level programming model to improve programming productivity on various hardware accelerators. + + llama.cpp based on SYCL is used to support Intel GPU (Data Center Max series, Flex series, Arc series, Built-in GPU and iGPU). + + For detailed info, please refer to [llama.cpp for SYCL](README_sycl.md). + + ### Prepare Data & Run ```bash |