Bringing PyTorch Monarch to AMD GPUs 4 hours ago (pytorch.org) 6 comments gmays Reply Add to library mountainriver 3 hours ago Love monarch, amazing primitives and feels so much lighter than Ray.Another awesome add on their part bicepjai 3 hours ago So are we at a point where we can’t train llms for fun at home on less expensive AMD cards ? esseph 3 hours ago Who was training LLMs on residential AMD GPUs? MrDrMcCoy 9 minutes ago I am. Most models that can be run locally have extraordinarily out of date training data for certain frameworks that predate breaking changes and important features, so their docs and API schemas need to be put into LoRAs. amelius 3 hours ago can't or can? fefe23 2 hours ago benchmqarks?
mountainriver 3 hours ago Love monarch, amazing primitives and feels so much lighter than Ray.Another awesome add on their part
bicepjai 3 hours ago So are we at a point where we can’t train llms for fun at home on less expensive AMD cards ? esseph 3 hours ago Who was training LLMs on residential AMD GPUs? MrDrMcCoy 9 minutes ago I am. Most models that can be run locally have extraordinarily out of date training data for certain frameworks that predate breaking changes and important features, so their docs and API schemas need to be put into LoRAs. amelius 3 hours ago can't or can?
esseph 3 hours ago Who was training LLMs on residential AMD GPUs? MrDrMcCoy 9 minutes ago I am. Most models that can be run locally have extraordinarily out of date training data for certain frameworks that predate breaking changes and important features, so their docs and API schemas need to be put into LoRAs.
MrDrMcCoy 9 minutes ago I am. Most models that can be run locally have extraordinarily out of date training data for certain frameworks that predate breaking changes and important features, so their docs and API schemas need to be put into LoRAs.
Love monarch, amazing primitives and feels so much lighter than Ray.
Another awesome add on their part
So are we at a point where we can’t train llms for fun at home on less expensive AMD cards ?
Who was training LLMs on residential AMD GPUs?
I am. Most models that can be run locally have extraordinarily out of date training data for certain frameworks that predate breaking changes and important features, so their docs and API schemas need to be put into LoRAs.
can't or can?
benchmqarks?