Eyad Issa
2808304cf4
* Llama 3.2: Meta's Llama 3.2 goes small with 1B and 3B
models.
* Qwen 2.5 Coder: The latest series of Code-Specific Qwen
models, with significant improvements in code generation,
code reasoning, and code fixing.
* Ollama now supports ARM Windows machines
* Fixed rare issue where Ollama would report a missing .dll
file on Windows
* Fixed performance issue for Windows without GPUs
OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/ollama?expand=0&rev=53
21 lines
1.3 KiB
Diff
21 lines
1.3 KiB
Diff
--- a/llm/generate/gen_linux.sh.orig 2024-09-17 12:52:41.511508050 +0200
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+++ b/llm/generate/gen_linux.sh 2024-09-17 13:01:55.316347171 +0200
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@@ -52,7 +52,7 @@
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export CUDACXX=$(command -v nvcc)
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fi
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fi
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-COMMON_CMAKE_DEFS="-DCMAKE_SKIP_RPATH=on -DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_OPENMP=off"
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+COMMON_CMAKE_DEFS="-DCMAKE_SKIP_RPATH=on -DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_OPENMP=off -DGGML_LTO=on"
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source $(dirname $0)/gen_common.sh
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init_vars
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git_module_setup
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@@ -95,7 +95,7 @@
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# -DGGML_AVX512_VBMI -- 2018 Intel Cannon Lake
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# -DGGML_AVX512_VNNI -- 2021 Intel Alder Lake
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- COMMON_CPU_DEFS="-DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_OPENMP=off"
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+ COMMON_CPU_DEFS="-DBUILD_SHARED_LIBS=on -DCMAKE_POSITION_INDEPENDENT_CODE=on -DGGML_NATIVE=off -DGGML_OPENMP=off -DGGML_LTO=on"
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if [ -z "${OLLAMA_CPU_TARGET}" -o "${OLLAMA_CPU_TARGET}" = "cpu" ]; then
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#
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# CPU first for the default library, set up as lowest common denominator for maximum compatibility (including Rosetta)
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