# Long text optimization

MiniCPM4 is an efficient large language model designed specifically for edge devices, achieving extreme efficiency improvements and optimal performance at the same scale.

A large language model based on the Llama-3.1 architecture, optimized by merging multiple high-quality 8B models, supporting ultra-long context processing

This is a model fine-tuned based on Mistral-Large-Instruct-2407, aiming to replicate the prose quality of the Claude 3 series models (especially Sonnet and Opus).

A Transformer model for automatic Vietnamese text correction, capable of identifying and fixing spelling and grammar errors.

A multilingual XLM-RoBERTa model pre-trained on legal data, supporting legal text processing in 24 European languages

JobBERT is a recruitment domain pre-trained model based on BERT, specifically designed for extracting hard skills and soft skills from job postings.

AlephBERT is a cutting-edge language model for Hebrew, based on Google's BERT architecture, specifically designed for processing Hebrew text.

This is a Transformer-based machine translation model for English to Chinese, supporting multiple Chinese dialects.