T-Lite and T-Pro: Training Report

Interesting. report from my colleagues about how the training went T-lite and T-pro models. Why adapt models to the Russian language - here the guys explain, and why do all this if there are foreign open source models Stages of learning the language model - here briefly we are talking about Parameter Efficient Fine-Tuning, Supervised Fine Tuning, General Post-Training and the main Continual Pretraining, which is used by children. Briefly, the approach is to

To train already strong open models, spending orders of magnitude fewer resources on training than the creators of current models of industry leaders.

And then the authors analyze each stage in detail and this is really interesting reading for those interested in modern approaches to creating LLM. I recommend it.

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