Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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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.
The local model scene is getting really good, I just wish I’d sprung for more RAM and GPU when I bought my macbook m1.
Even then, I can still run 8-12gb models that are decently good, and I’m looking forward to the new Qwen3 30b to move my tool use local.
Be sure to grab a DWQ quant, like this:
https://huggingface.co/nightmedia/Qwen3-30B-A3B-Instruct-2507-dwq3-mlx
https://huggingface.co/models?sort=modified&search=DWQ
DWQ is like an enhanced MLX that's much stronger with tight quants around 3-4bpw.
Im really hoping to see this as a new graphics thing. Specialized chips to bring down power consumption and having oses built around it where you have an ai installation interface.
The new Ryzen AI chips and Apples Neural Engine (or whatever is called) have great efficiency for performance and can run strong local models.
Intel also announced they’re going this route.
I know soldered memory isn’t popular, but right now the performance/energy benefits are big — you just have to buy the premium models.
I think NVIDIA will keep doing their massive GPU toaster ovens, Project Digits was supposed to be their low energy competitor and has been underwhelming.