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cs.CL2024
Xmodel-1.5: An 1B-scale Multilingual LLM
Wang Qun, Liu Yang, Lin Qingquan +1
We introduce Xmodel-1.5, a 1-billion-parameter multilingual large language model pretrained on 2 trillion tokens, designed for balanced performance and scalability. Unlike most lar…
cs.CV2024★ 2 cited
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
Wanting Xu, Yang Liu, Langping He +2
We introduce Xmodel-VLM, a cutting-edge multimodal vision language model. It is designed for efficient deployment on consumer GPU servers. Our work directly confronts a pivotal ind…
cs.CL2024
Xmodel-LM Technical Report
Yichuan Wang, Yang Liu, Yu Yan +3
We introduce Xmodel-LM, a compact and efficient 1.1B language model pre-trained on around 2 trillion tokens. Trained on our self-built dataset (Xdata), which balances Chinese and E…