# Educational Q&A

A lightweight Russian-English bilingual language model fine-tuned based on SmolLM2-135M, with enhanced Russian processing capabilities but notable limitations

Croatian text generation model based on Mistral architecture, trained with Unsloth acceleration

Condor-Opus-14B-Exp is a large language model based on the Qwen 2.5 14B modal architecture, focusing on enhanced reasoning capabilities, supporting multilingual and long-context processing.

InternLm-ChatBode is a language model fine-tuned for Portuguese, developed based on InternLM2 and optimized with the UltraAlpaca dataset.

A Portuguese conversation model fine-tuned based on Llama3 8B, filling the gap in Portuguese language models and optimizing dialogue capabilities

Merlyn Education Corpus Q&A v2 is a 13-billion-parameter decoder-style transformer model designed for the education domain. It is fine-tuned from the llama2-13b base model and specifically tailored to provide question answers based on given contexts.

This is a Chinese question generation model based on the MT5 architecture, capable of automatically generating relevant questions from given Chinese text.