LLM.
int8: Run Huge AI Models on One PC with 8-bit Magic
Big language models used to need lots of memory, and thats why only big companies could run them.
A new method called LLM.
int8 changes that by using 8-bit math so the models use about half the memory.
Most of the work stays tiny and fast, and a few small parts keep higher detail.
The result is the same answers, with no loss in performance, but on much cheaper hardware.
That means models with hundreds of billions of settings can fit on a normal server or even on some consumer GPUs, so more people can try them out.
Its like making a big engine smaller without losing power.
The team shared the code so anyone can test it, and it could make advanced AI easier to use, learn from, and build with.
Expect big models to be less rare, and more hands-on for creators, students, and small teams who want to explore what these systems can do.
Read article comprehensive review in Paperium.net:
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
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