# Polish text generation

This is an FP8 dynamic quantization version based on the Bielik-1.5B-v3.0-Instruct model, adapted for vLLM or SGLang inference frameworks. It uses AutoFP8 quantization technology to reduce parameter bytes from 16-bit to 8-bit, significantly lowering disk space and GPU VRAM requirements.

This is a 1.5B parameter instruction fine-tuned model for Polish, developed based on the SpeakLeash Bielik series, suitable for text generation tasks.

This is the GGUF quantized version of the Polish large language model Bielik-11B-v2.3-Instruct developed by SpeakLeash, suitable for local deployment and use.

Curie-7B-v1 is a model fine-tuned from English large language models (LLMs) for Polish text generation, excelling in Polish text generation and various NLP tasks.

plT5 is a language model based on the T5 architecture, specifically trained on Polish corpus and optimized for the original T5 denoising tasks.

Polish text generation model based on GPT2 architecture, filling the gap in Polish NLP field, trained on multilingual Oscar corpus