* Updated binaries, using [this build](https://github.com/SciSharp/LLamaSharp/actions/runs/8654672719/job/23733195669) for llama.cpp commit `f7001ccc5aa359fcf41bba19d1c99c3d25c9bcc7`.
- Added all new functions.
- Moved some functions (e.g. `SafeLlamaModelHandle` specific functions) into `SafeLlamaModelHandle.cs`
- Exposed tokens on `SafeLlamaModelHandle` and `LLamaWeights` through a `Tokens` property. As new special tokens are added in the future they can be added here.
- Changed all token properties to return nullable tokens, to handle some models not having some tokens.
- Fixed `DefaultSamplingPipeline` to handle no newline token in some models.
* Moved native methods to more specific locations.
- Context specific things have been moved into `SafeLLamaContextHandle.cs` and made private - they're exposed through C# properties and methods already.
- Checking that GPU layer count is zero if GPU offload is not supported.
- Moved methods for creating default structs (`llama_model_quantize_default_params` and `llama_context_default_params`) into relevant structs.
* Removed exception if `GpuLayerCount > 0` when GPU is not supported.
* - Added low level wrapper methods for new per-sequence state load/save in `SafeLLamaContextHandle`
- Added high level wrapper methods (save/load with `State` object or memory mapped file) in `LLamaContext`
- Moved native methods for per-sequence state load/save into `SafeLLamaContextHandle`
* Added update and defrag methods for KV cache in `SafeLLamaContextHandle`
* Updated submodule to `f7001ccc5aa359fcf41bba19d1c99c3d25c9bcc7`
* Passing the sequence ID when saving a single sequence state
- Update Microsoft.KernelMemory.Core to version 0.34.240313.1
- Update Microsoft.SemanticKernel to version 1.6.2
- Update Microsoft.SemanticKernel.Plugins.Memory to version 1.6.2-alpha
- Update Microsoft.KernelMemory.Abstractions to version 0.34.240313.1
- Update Microsoft.SemanticKernel.Abstractions to version 1.6.2
- Add DefaultInferenceParams property to LlamaSharpConfig
- Update GenerateTextAsync method in LlamaSharpTextGeneration to use DefaultInferenceParams if available
- Update OptionsToParams method in LlamaSharpTextGeneration to handle defaultParams
Added a project reference to LLama.KernelMemory in the LLama.Examples.csproj file.
🔧 Add KernelMemory class and update TestRunner
Added a new class KernelMemory to the LLama.Examples.NewVersion namespace, which includes a Run method that demonstrates the usage of Semantic Kernel Memory. The class imports a sample PDF document and asks a question to the memory, displaying the answer and relevant sources.
Updated the TestRunner class in the same namespace to include an option (choice 15) to run the KernelMemory example.
🔧 Fix typo in LLamaSharpTextEmbeddingGeneration class
Fixed a typo in the LLamaSharpTextEmbeddingGeneration class where the LlamaSharpConfig variable was incorrectly named as LlamaSharpConfig.
Added XML documentation for the LLamaSharpTextEmbeddingGeneration constructor, Dispose method, and GenerateEmbeddingsAsync method.
Summary:
- Added project reference to LLama.KernelMemory and LLama.SemanticKernel in LLama.Examples.csproj
- Added KernelMemory class to demonstrate Semantic Kernel Memory usage
- Updated TestRunner class to include option for running KernelMemory example
- Fixed typo in LLamaSharpTextEmbeddingGeneration class
- Added XML documentation for constructor, Dispose method, and GenerateEmbeddingsAsync method in LLamaSharpTextEmbeddingGeneration class
Add the LLamaSharp.KernelMemory project to the solution. This project includes classes for text embedding generation and text generation using the LLamaSharp library.
Lyrcaxis
Martin Evans
Rinne
Zoli Somogyi
Kenneth Tang
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dependabot[bot]
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Philipp Bauer