# Low-cost training

PARD is a high-performance speculative decoding method that can convert autoregressive draft models into parallel draft models at low cost, significantly accelerating the inference of large language models.

A Korean-optimized text generation model with instruction-following capability, featuring lightweight design suitable for edge device deployment

JetMoE-8B is an efficient open-source large language model that achieves performance comparable to LLaMA2-7B with a training cost of under $100,000, specifically designed for low-resource environments.

Loquace is an Italian-speaking, instruction-fine-tuned large language model aimed at promoting the democratization of AI and LLMs in Italy.