LLamaSharp.csproj

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    <TargetFrameworks>netstandard2.0;net8.0</TargetFrameworks>
    <RootNamespace>LLama</RootNamespace>
    <Nullable>enable</Nullable>
    <LangVersion>13</LangVersion>
    <Platforms>AnyCPU;x64;Arm64</Platforms>
    <AllowUnsafeBlocks>True</AllowUnsafeBlocks>

    <Version>0.27.0</Version>
    <Authors>Rinne, Martin Evans, jlsantiago and all the other contributors in https://github.com/SciSharp/LLamaSharp/graphs/contributors.</Authors>
    <Company>SciSharp STACK</Company>
    <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
    <Copyright>MIT, SciSharp STACK $([System.DateTime]::UtcNow.ToString(yyyy))</Copyright>
    <RepositoryUrl>https://github.com/SciSharp/LLamaSharp</RepositoryUrl>
    <RepositoryType>git</RepositoryType>
    <PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&amp;v=4</PackageIconUrl>
    <PackageTags>LLama, LLM, GPT, ChatGPT, NLP, AI, Chat Bot, SciSharp</PackageTags>
    <Description>
      LLamaSharp is a cross-platform library to run 🦙LLaMA/Mtmd model (and others) in your local device. 
      Based on [llama.cpp](https://github.com/ggerganov/llama.cpp), inference with LLamaSharp is efficient on both CPU and GPU. 
      With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.
    </Description>
    <PackageReleaseNotes>
        Updated llama.cpp version to 3f7c29d318e317b63f54c558bc69803963d7d88c
    </PackageReleaseNotes>
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    <PackageId>LLamaSharp</PackageId>
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