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Hi
I'm trying to set up GraphCast and Pangu to run on a 3060 12GB GPU and am getting memory allocation errors for both models.
Pangu:
2024-07-05 14:59:18,484 INFO Writing results to pangu_out…
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Description of 'finetuningEnergyConsumption' says that it's the energy consumed for finetuning an AI model.
Description of 'energyConsumption' says that it's the energy consumed for training an AI m…
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**What would you like to be added/modified**:
Sedna is an edge-cloud synergy AI project incubated in KubeEdge SIG AI. Benefiting from the edge-cloud synergy capabilities provided by KubeEdge, Sed…
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Running AI model seems inefficient, because AI inference may not be requested very frequently.
So, AI model should be launched on demand and terminated.
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背景上下文:
https://qwen.readthedocs.io/zh-cn/latest/framework/function_call.html
Originally posted by @GabrielXie in https://github.com/xorbitsai/inference/pull/1598#issuecomment-2159605576
https://g…
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## Context :
There are already endpoints to manage blob storage folders: one to create a directory, one to delete it, and another to get all directory names of a container. Since we now have a data…
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### Summary
One of the advantages of using WasmEdge as the LLM inference runtime is that WasmEdge is portable across different CPUs and GPUs. So it's important to support more chips for WasmEdge.
…
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From our README.md
> torchao is a library to create and integrate high-performance custom data types layouts into your PyTorch workflows
And so far we've done a good job building out the primiti…
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Hi wejoncy,
I met an issue we transfer q4 model to onnx model base on nivida 3090 when check after merge onnx model.
decoder_merged.onnx model properites:
ONNX v10
optimum-onnx
0
ai.onn…
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Hi everyone
GraX 3.0.2 using AI denoise 3.0.1
Beelink Ryzen 7, 5800 8c/16t with Radeon graphics
A 6000x4000 pixel image takes over 30 minutes to denoise.
I've tried binning the image, inference …