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Merge pull request #917 from martindevans/release_0.16.0
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0.16.0 release
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martindevans authored Sep 1, 2024
2 parents 0897c6a + 50acbe3 commit 26a7114
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4 changes: 2 additions & 2 deletions LLama.KernelMemory/LLamaSharp.KernelMemory.csproj
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<TargetFrameworks>net8.0</TargetFrameworks>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<Version>0.15.0</Version>
<Version>0.16.0</Version>
<Authors>Xbotter</Authors>
<Company>SciSharp STACK</Company>
<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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The integration of LLamaSharp and Microsoft kernel-memory. It could make it easy to support document search for LLamaSharp model inference.
</Description>
<PackageReleaseNotes>
v0.14.0 released with v0.14.0 of LLamaSharp.
v0.16.0 released with v0.16.0 of LLamaSharp.
</PackageReleaseNotes>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
<PackageOutputPath>packages</PackageOutputPath>
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4 changes: 2 additions & 2 deletions LLama.SemanticKernel/LLamaSharp.SemanticKernel.csproj
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<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>

<Version>0.15.0</Version>
<Version>0.16.0</Version>
<Authors>Tim Miller, Xbotter</Authors>
<Company>SciSharp STACK</Company>
<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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The integration of LLamaSharp and Microsoft semantic-kernel.
</Description>
<PackageReleaseNotes>
v0.15.0 released with v0.15.0 of LLamaSharp.
v0.16.0 released with v0.16.0 of LLamaSharp.
</PackageReleaseNotes>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
<PackageOutputPath>packages</PackageOutputPath>
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4 changes: 2 additions & 2 deletions LLama/LLamaSharp.csproj
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<Platforms>AnyCPU;x64;Arm64</Platforms>
<AllowUnsafeBlocks>True</AllowUnsafeBlocks>

<Version>0.15.0</Version>
<Version>0.16.0</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>
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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 include better support for LLama3.1.
Updated llama.cpp version to 11b84eb4578864827afcf956db5b571003f18180
</PackageReleaseNotes>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
<PackageOutputPath>packages</PackageOutputPath>
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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -251,8 +251,9 @@ If you want to compile llama.cpp yourself you **must** use the exact commit ID l
| v0.11.1, v0.11.2 | [LLaVA-v1.5](https://hf-mirror.com/jartine/llava-v1.5-7B-GGUF/blob/main/llava-v1.5-7b-mmproj-Q4_0.gguf), [Phi2](https://huggingface.co/TheBloke/phi-2-GGUF)| [`3ab8b3a`](https://github.com/ggerganov/llama.cpp/tree/3ab8b3a92ede46df88bc5a2dfca3777de4a2b2b6) |
| v0.12.0 | LLama3 | [`a743d76`](https://github.com/ggerganov/llama.cpp/tree/a743d76a01f23038b2c85af1e9048ee836767b44) |
| v0.13.0 | | [`1debe72`](https://github.com/ggerganov/llama.cpp/tree/1debe72737ea131cb52975da3d53ed3a835df3a6) |
| v0.14.0 | Gemma2 | [`368645698ab648e390dcd7c00a2bf60efa654f57`](https://github.com/ggerganov/llama.cpp/tree/368645698ab648e390dcd7c00a2bf60efa654f57) |
| v0.15.0 | LLama3.1 | [`345c8c0c87a97c1595f9c8b14833d531c8c7d8df`](https://github.com/ggerganov/llama.cpp/tree/345c8c0c87a97c1595f9c8b14833d531c8c7d8df) |
| v0.14.0 | Gemma2 | [`36864569`](https://github.com/ggerganov/llama.cpp/tree/368645698ab648e390dcd7c00a2bf60efa654f57) |
| v0.15.0 | LLama3.1 | [`345c8c0c`](https://github.com/ggerganov/llama.cpp/tree/345c8c0c87a97c1595f9c8b14833d531c8c7d8df) |
| v0.16.0 | | [`11b84eb4`](https://github.com/ggerganov/llama.cpp/tree/11b84eb4578864827afcf956db5b571003f18180) |

## License

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