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  <name>ramalama</name>
  <arch>noarch</arch>
  <version epoch="0" ver="0.21.0" rel="1.fc45"/>
  <checksum type="sha256" pkgid="YES">371ba3ccea78c7e8cdc80af5be4d99c202be77ac8a4674d43704d1244e4897e4</checksum>
  <summary>Command line tool for working with AI LLM models</summary>
  <description>Command line tool for working with AI LLM models

On first run RamaLama inspects your system for GPU support, falling back to CPU
support if no GPUs are present. It then uses container engines like Podman to
pull the appropriate OCI image with all of the software necessary to run an
AI Model for your systems setup. This eliminates the need for the user to
configure the system for AI themselves. After the initialization, RamaLama
will run the AI Models within a container based on the OCI image.</description>
  <packager></packager>
  <url>https://github.com/containers/ramalama</url>
  <time file="1778741464" build="1778741449"/>
  <size package="582516" installed="1942814" archive="2020204"/>
  <location href="10458117-ramalama/ramalama-0.21.0-1.fc45.noarch.rpm"/>
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    <rpm:license>MIT</rpm:license>
    <rpm:vendor>Fedora Copr - group @python</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>aws-x86-64-reserved-prod-08826801-20260514-061627</rpm:buildhost>
    <rpm:sourcerpm>ramalama-0.21.0-1.fc45.src.rpm</rpm:sourcerpm>
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      <rpm:entry name="python3.15dist(ramalama)" flags="EQ" epoch="0" ver="0.21"/>
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      <rpm:entry name="/usr/bin/python3"/>
      <rpm:entry name="podman"/>
      <rpm:entry name="python(abi)" flags="EQ" epoch="0" ver="3.15"/>
      <rpm:entry name="python3-argcomplete"/>
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      <rpm:entry name="python3.15dist(pyyaml)"/>
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    <rpm:obsoletes>
      <rpm:entry name="python3-ramalama" flags="LT" epoch="0" ver="0.21.0" rel="1"/>
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    <file>/usr/bin/ramalama</file>
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  <name>ramalama</name>
  <arch>src</arch>
  <version epoch="0" ver="0.21.0" rel="1.fc45"/>
  <checksum type="sha256" pkgid="YES">892a39139ecb26a2cb47258fc9af15c1aa8270c6d52fc9bcf1d361b859b37d7f</checksum>
  <summary>Command line tool for working with AI LLM models</summary>
  <description>Command line tool for working with AI LLM models

On first run RamaLama inspects your system for GPU support, falling back to CPU
support if no GPUs are present. It then uses container engines like Podman to
pull the appropriate OCI image with all of the software necessary to run an
AI Model for your systems setup. This eliminates the need for the user to
configure the system for AI themselves. After the initialization, RamaLama
will run the AI Models within a container based on the OCI image.</description>
  <packager></packager>
  <url>https://github.com/containers/ramalama</url>
  <time file="1778741463" build="1778741449"/>
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    <rpm:vendor>Fedora Copr - group @python</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>aws-x86-64-reserved-prod-08826801-20260514-061627</rpm:buildhost>
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      <rpm:entry name="ramalama" flags="EQ" epoch="0" ver="0.21.0" rel="1.fc45"/>
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      <rpm:entry name="(python3dist(tomli) if python3-devel &lt; 3.11)"/>
      <rpm:entry name="go-md2man"/>
      <rpm:entry name="mailcap"/>
      <rpm:entry name="make"/>
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      <rpm:entry name="pyproject-rpm-macros"/>
      <rpm:entry name="python3-devel"/>
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      <rpm:entry name="python3dist(argcomplete)"/>
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      <rpm:entry name="python3dist(packaging)"/>
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