# Polish language optimization

The GGUF quantization version of PLLuM-8x7B-chat, optimized for local inference, supporting multiple quantization levels to meet different hardware requirements.

PLLuM is a large - language - model family focused on Polish and other Slavic/Baltic languages, while incorporating English data to achieve broader generalization ability.

PLLuM-12B-chat is an optimized dialogue version with 12 billion parameters in the Polish large language model family. It is specifically designed for the Polish language and Slavic/Baltic languages, achieving safe and efficient interaction capabilities through instruction fine-tuning and preference learning.

Qra is a series of Polish-optimized large language models jointly developed by the Polish National Information Processing Institute and Gdańsk University of Technology, initialized based on TinyLlama-1.1B and trained on 90 billion Polish tokens

polka-1.1b is a bilingual (Polish and English) text generation model enhanced by continuing pre-training on 5.7 billion Polish tokens based on the TinyLlama-1.1B model.

A Polish speech recognition model fine-tuned on the GOOGLE/XTREME_S - MLS.PL dataset based on facebook/wav2vec2-xls-r-300m