Comments (4)
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You need a gguf model file to use llama.cpp, not safetensors.
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Thanks, I understand llama.cpp is used to load the quantized gguf model.
One more question, which parameter in the sample code is used to enable the use of the local GPU, and how to choose which local gpu to use
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@CrazyJson ,
You need install coda in your pc
if you install cuda11, you should be choose this package
cuda12 use this package
I'm not sure if OpenCL supports Intel graphics cards
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Related Issues (20)
- 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 2
- [BUG]: Offset and length were out of bounds HOT 1
- 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 2
- [BUG]: qwen2 nvidia abnormal occurrence HOT 7
- [Feature]: AuthorRole can custom role labels be supported ?
- SEHException on Tokenize model. HOT 5
- Cannot figure out how to switch backend to OpenCL HOT 3
- [Feature]: Support JSON Schema from llama.cpp HOT 3
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