Release v0.21.0

Author: martindevans

LLama.SemanticKernel/LLamaSharp.SemanticKernel.csproj

@@ -10,7 +10,7 @@
 		<ImplicitUsings>enable</ImplicitUsings>
 		<Nullable>enable</Nullable>
 
-		<Version>0.20.0</Version>
+		<Version>0.21.0</Version>
 		<Authors>Tim Miller, Xbotter</Authors>
 		<Company>SciSharp STACK</Company>
 		<GeneratePackageOnBuild>true</GeneratePackageOnBuild>

LLama/LLamaSharp.csproj

@@ -7,7 +7,7 @@
     <Platforms>AnyCPU;x64;Arm64</Platforms>
     <AllowUnsafeBlocks>True</AllowUnsafeBlocks>
 
-    <Version>0.20.0</Version>
+    <Version>0.21.0</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>
@@ -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>
-        Updated llama.cpp version to 0827b2c1da299805288abbd556d869318f2b121e
+        Updated llama.cpp version to 5783575c9d99c4d9370495800663aa5397ceb0be
     </PackageReleaseNotes>
     <PackageLicenseExpression>MIT</PackageLicenseExpression>
     <PackageOutputPath>packages</PackageOutputPath>

README.md

@@ -261,6 +261,7 @@ If you want to compile llama.cpp yourself you **must** use the exact commit ID l
 | v0.18.0 |  | [`c35e586e`](https://github.com/ggerganov/llama.cpp/tree/c35e586ea57221844442c65a1172498c54971cb0) |
 | v0.19.0 |  | [`958367bf`](https://github.com/ggerganov/llama.cpp/tree/958367bf530d943a902afa1ce1c342476098576b) |
 | v0.20.0 |  | [`0827b2c1`](https://github.com/ggerganov/llama.cpp/tree/0827b2c1da299805288abbd556d869318f2b121e) |
+| v0.21.0 |  | [`5783575c`](https://github.com/ggerganov/llama.cpp/tree/5783575c9d99c4d9370495800663aa5397ceb0be) |
 
 ## License