Comments (4)
Yes, it is important for using LLM to handling complex works. I'll start making this feature after about 1 month. :)
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Not yet! I'm currently working out kinks, but I hope to get it done ASAP
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It's pretty easy to hack together your own function calling. I used Hermes-2-Theta-LLama-3-8B and got acceptable results. What would be nice is C# native annotations that translate functions into OpenAI JSON, which the "function calling method" meta seems to have standardized around. Semantic Kernel also provides this feature if you really need it with their "planner" functionality, I chose to roll my own for resource constraint reasons
from llamasharp.
It's pretty easy to hack together your own function calling. I used Hermes-2-Theta-LLama-3-8B and got acceptable results. What would be nice is C# native annotations that translate functions into OpenAI JSON, which the "function calling method" meta seems to have standardized around.
That's inspiring! May I ask whether you work is open-source? I wonder if I can take a look of your implementation if it's possible. :)
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Related Issues (20)
- 开局提问有几率会触发无限空行回复 HOT 3
- Unable to load SYCL compiled backend HOT 12
- LLamaSharp runtime binaries don't support Rosetta2 HOT 7
- Split the main package
- Make `LLamaSharp.semantic-kernel` depend on `Microsoft.SemanticKernel.Core` instead of `Microsoft.SemanticKernel`. HOT 1
- [Feature]: SemanticKernel FuctionCall HOT 3
- [BUG]: When using large models with the GPU the code crashes with cannot allocate kvcache HOT 13
- Llava DLL issue in Unity HOT 2
- [BUG]: When using the output IAsyncEnumerable<string> of session.ChatAsync() strings are not streamed into client HOT 5
- Semantic Kernel - Home Automation Sample HOT 4
- Phi-3-medium-128k-instruct - error due to tensor shape expected 245, got 243 HOT 1
- [BUG]: Offset and length were out of bounds
- Have an error then try run example "KernelMemorySaveAndLoad" HOT 1
- [Feature]: Expose implementation details of the KV Cache HOT 6
- Unable to Utilize Full CPU Capacity During Inference HOT 2
- [BUG]: Cannot load the backend on MACOS HOT 1
- [BUG]: qwen2 nvidia abnormal occurrence HOT 7
- [Feature]: AuthorRole can custom role labels be supported ?
- SEHException on Tokenize model. HOT 4
- Cannot figure out how to switch backend to OpenCL HOT 1
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