LLamaSharp/LLama/LLamaSharp.csproj

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    <Version>0.11.0</Version>
    <Authors>Rinne, Martin Evans, jlsantiago and all the other contributors in https://github.com/SciSharp/LLamaSharp/graphs/contributors.</Authors>
    <Company>SciSharp STACK</Company>
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    <Copyright>MIT, SciSharp STACK $([System.DateTime]::UtcNow.ToString(yyyy))</Copyright>
    <RepositoryUrl>https://github.com/SciSharp/LLamaSharp</RepositoryUrl>
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    <PackageTags>LLama, LLM, GPT, ChatGPT, NLP, AI, Chat Bot, SciSharp</PackageTags>
    <Description>
      LLamaSharp is a cross-platform library to run 🦙LLaMA/LLaVA 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.
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      LLamaSharp 0.11.0 added support for multi-modal (LLaVA), improved the BatchedExecutor and added state management of `ChatSession`.
    </PackageReleaseNotes>
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