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Xmodel-LM Technical Report

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arxiv 2406.02856 v5 pith:IOEDV6OB submitted 2024-06-05 cs.CL cs.AI

classification cs.CLcs.AI
keywords xmodel-lmgithublanguagemodelaccessiblearoundbalancescheckpoints
verification ladder T0 review T1 audit T2 compute T3 formal

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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 English corpora based on downstream task optimization, Xmodel-LM exhibits remarkable performance despite its smaller size. It notably surpasses existing open-source language models of similar scale. Our model checkpoints and code are publicly accessible on GitHub at https://github.com/XiaoduoAILab/XmodelLM.

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  1. Xmodel-1.5: An 1B-scale Multilingual LLM

    cs.CL 2024-11 conditional novelty 4.0 of 10

    Xmodel-1.5, a 1B multilingual LLM with a custom unigram tokenizer, outperforms PolyLM-1.7B on several Thai, Arabic, French, and Chinese benchmarks and includes a new Thai evaluation dataset.

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