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release: update release info of packages.

This commit is contained in:
Rinne 2024-04-06 14:20:36 +08:00
parent 58107bb5b9
commit 4640c6af04
3 changed files with 6 additions and 6 deletions
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4
LLama.KernelMemory/LLamaSharp.KernelMemory.csproj
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@ -4,7 +4,7 @@
<TargetFrameworks>net6.0;net7.0;net8.0</TargetFrameworks>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<Version>0.11.0</Version>
<Version>0.11.2</Version>
<Authors>Xbotter</Authors>
<Company>SciSharp STACK</Company>
<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
@ -17,7 +17,7 @@
The integration of LLamaSharp and Microsoft kernel-memory. It could make it easy to support document search for LLamaSharp model inference.
</Description>
<PackageReleaseNotes>
v0.11.0 updated the kernel-memory package and Fixed System.ArgumentException: EmbeddingMode must be true.
v0.11.2 followed the updating of LLamaSharp.
</PackageReleaseNotes>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
<PackageOutputPath>packages</PackageOutputPath>

4
LLama.SemanticKernel/LLamaSharp.SemanticKernel.csproj
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@ -10,7 +10,7 @@
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<Version>0.11.0</Version>
<Version>0.11.2</Version>
<Authors>Tim Miller, Xbotter</Authors>
<Company>SciSharp STACK</Company>
<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
@ -23,7 +23,7 @@
The integration of LLamaSharp and Microsoft semantic-kernel.
</Description>
<PackageReleaseNotes>
v0.11.0 updates the semantic-kernel package.
v0.11.2 followed the updating of LLamaSharp.
</PackageReleaseNotes>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
<PackageOutputPath>packages</PackageOutputPath>

4
LLama/LLamaSharp.csproj
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@ -7,7 +7,7 @@
<Platforms>AnyCPU;x64;Arm64</Platforms>
<AllowUnsafeBlocks>True</AllowUnsafeBlocks>
<Version>0.11.0</Version>
<Version>0.11.2</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>
@ -22,7 +22,7 @@
With the higher-level APIs and RAG support, it's convenient to deploy LLM (Large Language Model) in your application with LLamaSharp.
</Description>
<PackageReleaseNotes>
LLamaSharp 0.11.0 added support for multi-modal (LLaVA), improved the BatchedExecutor and added state management of `ChatSession`.
LLamaSharp 0.11.2 fixed the performance issue of LLaVA on GPU and improved the log suppression.
</PackageReleaseNotes>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
<PackageOutputPath>packages</PackageOutputPath>