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LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.
As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.
Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
A while back I was able to use an nvidia m40 as a GPU while using embedded intel as the primary video output. This worked back then because laptops with nvidia GPUs rely on this hybrid GPu setup built into windows to conserve power and optimize for apps that actually need acceleration (windows surface book had a detachable nvidia GPu built into the keyboard). I did have to tweak some things in the driver to pick the default GPu. I don’t remember exactly how I did it back then and I’m not sure if it’s relevant any longer. I’m sure it’s better now that USB-C docks provide acceleration as well without needing to be connecting directly to the output device.
I’m sure anything and all of these datacenter systems will eventually find creative places in the aftermarket.