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docs: update ggml and llama.cpp URLs (#931)
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@ -29,7 +29,7 @@ API and command-line option may change frequently.***
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## Features
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- Plain C/C++ implementation based on [ggml](https://github.com/ggerganov/ggml), working in the same way as [llama.cpp](https://github.com/ggerganov/llama.cpp)
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- Plain C/C++ implementation based on [ggml](https://github.com/ggml-org/ggml), working in the same way as [llama.cpp](https://github.com/ggml-org/llama.cpp)
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- Super lightweight and without external dependencies
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- Supported models
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- Image Models
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@ -165,7 +165,7 @@ Thank you to all the people who have already contributed to stable-diffusion.cpp
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## References
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- [ggml](https://github.com/ggerganov/ggml)
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- [ggml](https://github.com/ggml-org/ggml)
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- [diffusers](https://github.com/huggingface/diffusers)
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- [stable-diffusion](https://github.com/CompVis/stable-diffusion)
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- [sd3-ref](https://github.com/Stability-AI/sd3-ref)
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@ -157,7 +157,7 @@ ninja
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## Build with SYCL
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Using SYCL makes the computation run on the Intel GPU. Please make sure you have installed the related driver and [Intel® oneAPI Base toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) before start. More details and steps can refer to [llama.cpp SYCL backend](https://github.com/ggerganov/llama.cpp/blob/master/docs/backend/SYCL.md#linux).
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Using SYCL makes the computation run on the Intel GPU. Please make sure you have installed the related driver and [Intel® oneAPI Base toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) before start. More details and steps can refer to [llama.cpp SYCL backend](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/SYCL.md#linux).
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```shell
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# Export relevant ENV variables
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