GLM-130B: A Revolutionary Open Bilingual Pre-Trained Model
GLM-130B is an open bilingual pre-trained model that was showcased at ICLR 2023. It is a game-changer in the field of natural language processing with its exceptional 130 billion parameters. This model is specifically designed for bidirectional dense modeling in English and Chinese languages. The GLM-130B utilizes the General Language Model (GLM) algorithm for pre-training and can perform inference tasks on a single server setup, including A100 (40G * 8) or V100 (32G * 8). Furthermore, its compatibility with INT4 quantization reduces the hardware requirements, which means that a server with 4 * RTX 3090 (24G) can support the model with minimal performance degradation.The GLM-130B has undergone training with an extensive dataset that consists of over 400 billion text tokens, equally divided between Chinese and English. It offers exceptional bilingual support, superior performance across various datasets when compared to its counterparts, and provides fast inference times. In addition to its impressive performance, this repository promotes reproducibility by facilitating open-source code and model checkpoints for over 30 tasks. The GLM-130B is an excellent tool that can aid in several natural language processing tasks, such as language translation, language understanding, and more. It is a revolutionary model that can assist researchers, developers, and businesses in achieving their goals in the field of natural language processing.
