ggml-cpu: Support Q3_K SIMD on s390x #13301
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Signed-off-by: Aaron Teo <[email protected]>
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* origin/master: (27 commits) llama : fix build_ffn without gate (ggml-org#13336) CUDA: fix bad asserts for partial offload (ggml-org#13337) convert : qwen2/3moe : set yarn metadata if present (ggml-org#13331) CUDA: fix --split-mode row for MMQ (ggml-org#13323) gguf-py : avoid requiring pyside6 for other scripts (ggml-org#13036) CUDA: fix logic for clearing padding with -ngl 0 (ggml-org#13320) sampling : Integrate Top-nσ into main sampling chain (and add it to the server) (ggml-org#13264) server : Webui - change setText command from parent window to also send the message. (ggml-org#13309) mtmd : rename llava directory to mtmd (ggml-org#13311) clip : fix confused naming ffn_up and ffn_down (ggml-org#13290) convert : bailingmoe : set yarn metadata if present (ggml-org#13312) SYCL: Disable mul_mat kernels for noncontiguous tensor b (ggml-org#13308) mtmd : add C public API (ggml-org#13184) rpc : use backend registry, support dl backends (ggml-org#13304) ggml : activate s390x simd for Q3_K (ggml-org#13301) llava/mtmd : fixes to fully support dl backends (ggml-org#13303) llama : build windows releases with dl backends (ggml-org#13220) CUDA: fix race condition in MMQ stream-k fixup (ggml-org#13299) CUDA: fix race condition in MMQ ids_dst (ggml-org#13294) vulkan: Additional type support for unary, binary, and copy (ggml-org#13266) ...
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This pull request aims to include SIMD instruction set for Q3_K quantisation on the s390x platform.
Before SIMD Benchmark
After SIMD Benchmark
Verification
To ensure that this implementation did not break anything, the SIMD instruction set has been tested on the following models:
Note
Tests were conducted on an IBM z15 Mainframe with 16 IFLs (cores) and 128 GB Memory on a shared R&D LPAR.
Please review this pull request and consider merging into the main repository. Thank you!