Comments (7)
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You need a gguf model file to use llama.cpp, not safetensors.
from llamasharp.
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
from llamasharp.
@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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i have the same problem, i download and install Cuda12 , but not use my GPU still use RAM!
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do you have the cuda toolkit installed? You need that to supply the CUDA runtime packages
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yes i did
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Related Issues (20)
- [BUG]: Vulkan backend crash on model loading HOT 3
- [BUG]: Different continuation after restoring state HOT 1
- Improve `LLamaEmbedder` HOT 2
- [BUG]: KernelMemory.AskAsync() does not work - exception: object reference not set to an instance of an object HOT 25
- [BUG]: fatal error using gemma-2-2b-it HOT 3
- [BUG]: "The type or namespace 'Common' does not exist in the namespace 'LLama'" HOT 4
- Application Not Using GPU Despite Installing LlamaSharp.Backend.Cuda12 HOT 1
- [Feature]: Add development support for Dev Containers HOT 6
- How do i use RAG by kernel memory and Semantic kernel Handlebar Planner with llama3 HOT 3
- versioning issue HOT 11
- [BUG]: gemma-2-9b-it-GGUF - error loading model HOT 3
- [BUG]: Error when starting LLama Cuda11/12 HOT 6
- [BUG]: Second Response Empty when using Grammar HOT 3
- LLamaSharp v0.15.0 broke cuda backend HOT 15
- [BUG]: KernelMemory - Simultaneous execution of AskDocument & ImportDocument HOT 18
- [BUG]: Error setting variables HOT 1
- [BUG:] When switching to new versions of LLamaSharp 0.16.0, there was a slowdown HOT 30
- A few moments in the process of work LLamaSharp & KernelMemory
- Question about promt templates
- [BUG]: DefaultSamplingPipeline - strange behavior at high temperature HOT 1
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