It worked, the change I had to do was also minimal for the compilation of the .cu unit. You can compile it for the whole iGPU family, not only a specific model.
I've submitted it as PR, as well as an initial implementation for an OpenAI like API
863 karma · joined August 2, 2019
I've submitted it as PR, as well as an initial implementation for an OpenAI like API
For comparison, the full classic gasoline engine with manual gearbox consumes less gasoline than the e-Power one. This is just some pure greenwashing, that isn't even explained at car dealerships and people can't say anything about it, when you ask for information.
Works like (?) an EV, it isn't an EV.
And in a territory affected from seismic activities, I would avoid nuclear at all
It's a large switch/case where the first available tool is picked up to do something they know how to do.
Just because something was trained on a massive amount of human data, doesn't mean that can think like humans
OpenAI/Anthropic instructed them to do so.
Stop assume LLMs are capable of thinking by themselves, it's still a statistical model that parrots what they learn or users tell them to do
On a Laptop with 32 GB RAM and Iris Xe integrated graphic card, I get between 11-18 Tokens/Second with Qwen 3.8 27B and llama.cpp with sysl Intel optimisations. Same results with the vulkan back end, although sometimes it ends in weird segmentation faults due to the memory consumption.