Merge pull request #1187 from martindevans/release_v0.24

Release v0.24

Author: martindevans

LLama.KernelMemory/LLamaSharp.KernelMemory.csproj

@@ -4,7 +4,7 @@
     <TargetFrameworks>net8.0</TargetFrameworks>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
-    <Version>0.22.0</Version>
+    <Version>0.24.0</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>
-        v0.21.0 released with v0.21.0 of LLamaSharp.
+        v0.24.0 released with v0.24.0 of LLamaSharp.
     </PackageReleaseNotes>
     <PackageLicenseExpression>MIT</PackageLicenseExpression>
     <PackageOutputPath>packages</PackageOutputPath>

LLama.SemanticKernel/LLamaSharp.SemanticKernel.csproj

@@ -10,7 +10,7 @@
 		<ImplicitUsings>enable</ImplicitUsings>
 		<Nullable>enable</Nullable>
 
-		<Version>0.22.0</Version>
+		<Version>0.24.0</Version>
 		<Authors>Tim Miller, Xbotter</Authors>
 		<Company>SciSharp STACK</Company>
 		<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
@@ -23,8 +23,8 @@
 			The integration of LLamaSharp and Microsoft semantic-kernel.
 		</Description>
 		<PackageReleaseNotes>
-			v0.21.0 released with v0.21.0 of LLamaSharp.
-		</PackageReleaseNotes>
+            v0.24.0 released with v0.24.0 of LLamaSharp.
+        </PackageReleaseNotes>
 		<PackageLicenseExpression>MIT</PackageLicenseExpression>
 		<PackageOutputPath>packages</PackageOutputPath>
 		<Platforms>AnyCPU;x64;Arm64</Platforms>

LLama/LLamaSharp.csproj

@@ -7,7 +7,7 @@
     <Platforms>AnyCPU;x64;Arm64</Platforms>
     <AllowUnsafeBlocks>True</AllowUnsafeBlocks>
 
-    <Version>0.22.0</Version>
+    <Version>0.24.0</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 5783575c9d99c4d9370495800663aa5397ceb0be
+        Updated llama.cpp version to ceda28ef8e310a8dee60bf275077a3eedae8e36c
     </PackageReleaseNotes>
     <PackageLicenseExpression>MIT</PackageLicenseExpression>
     <PackageOutputPath>packages</PackageOutputPath>

README.md

@@ -266,6 +266,7 @@ If you want to compile llama.cpp yourself you **must** use the exact commit ID l
 | v0.21.0 | [DeepSeek R1](https://huggingface.co/collections/unsloth/deepseek-r1-all-versions-678e1c48f5d2fce87892ace5) | [`5783575c`](https://github.com/ggerganov/llama.cpp/tree/5783575c9d99c4d9370495800663aa5397ceb0be) |
 | v0.22.0 | Gemma3 | [`be7c3034`](https://github.com/ggerganov/llama.cpp/tree/be7c3034108473beda214fd1d7c98fd6a7a3bdf5) |
 | v0.23.0 | Gemma3 | [`be7c3034`](https://github.com/ggerganov/llama.cpp/tree/be7c3034108473beda214fd1d7c98fd6a7a3bdf5) |
+| v0.24.0 | Qwen3 | [`ceda28ef`](https://github.com/ggerganov/llama.cpp/tree/ceda28ef8e310a8dee60bf275077a3eedae8e36c) |
 
 ## License