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
114 lines
2.9 KiB
RPMSpec
114 lines
2.9 KiB
RPMSpec
#
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# spec file for package ollama
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#
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# Copyright (c) 2024 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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Name: ollama
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Version: 0.3.12
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Release: 0
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Summary: Tool for running AI models on-premise
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License: MIT
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URL: https://ollama.com
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Source: %{name}-%{version}.tar
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Source1: vendor.tar.zstd
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Source2: ollama.service
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Source3: %{name}-user.conf
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Patch0: enable-lto.patch
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BuildRequires: cmake >= 3.24
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BuildRequires: git
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BuildRequires: sysuser-tools
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BuildRequires: zstd
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BuildRequires: golang(API) >= 1.22
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%sysusers_requires
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%if 0%{?sle_version} == 150600
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BuildRequires: gcc12-c++
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BuildRequires: libstdc++6-gcc12
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%else
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BuildRequires: gcc-c++ >= 11.4.0
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%endif
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# 32bit seems not to be supported anymore
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ExcludeArch: %ix86 %arm
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%description
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Ollama is a tool for running AI models on one's own hardware.
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It offers a command-line interface and a RESTful API.
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New models can be created or existing ones modified in the
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Ollama library using the Modelfile syntax.
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Source model weights found on Hugging Face and similar sites
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can be imported.
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%prep
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%autosetup -a1 -p1
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%build
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%sysusers_generate_pre %{SOURCE3} %{name} %{name}-user.conf
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%ifnarch ppc64
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export GOFLAGS="-buildmode=pie -mod=vendor"
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%endif
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%if 0%{?sle_version} == 150600
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export CXX=g++-12
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export CC=gcc-12
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# pie doesn't work with gcc12 on leap
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export GOFLAGS="-mod=vendor"
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%endif
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export OLLAMA_SKIP_PATCHING=1
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go generate ./...
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go build -v .
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%install
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install -D -m 0755 %{name} %{buildroot}/%{_bindir}/%{name}
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install -D -m 0644 %{SOURCE2} %{buildroot}%{_unitdir}/%{name}.service
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install -D -m 0644 %{SOURCE3} %{buildroot}%{_sysusersdir}/%{name}-user.conf
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install -d %{buildroot}%{_localstatedir}/lib/%{name}
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mkdir -p "%{buildroot}/%{_docdir}/%{name}"
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cp -Ra docs/* "%{buildroot}/%{_docdir}/%{name}"
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%check
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%if 0%{?sle_version} == 150600
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export CXX=g++-12
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export CC=gcc-12
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# pie doesn't work with gcc12 on leap
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export GOFLAGS="-mod=vendor"
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%endif
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go test ./...
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%pre -f %{name}.pre
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%service_add_pre %{name}.service
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%post
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%service_add_post %{name}.service
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%preun
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%service_del_preun %{name}.service
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%postun
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%service_del_postun %{name}.service
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%files
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%doc README.md
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%license LICENSE
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%{_docdir}/%{name}
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%{_bindir}/%{name}
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%{_unitdir}/%{name}.service
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%{_sysusersdir}/%{name}-user.conf
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%attr(-, ollama, ollama) %{_localstatedir}/lib/%{name}
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%changelog
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