Alternative Language Models
Francesco ChiaramonteFrancesco Chiaramonte
Home   >   GLM 130B

The robust bilingual (English and Chinese) model GLM-130B has 130 billion parameters trained on 400 billion text tokens, evenly split between the two languages. It runs efficiently on specific server configurations and has almost no performance degradation with INT4 quantization. The model outperforms GPT-3 175B and ERNIE TITAN 3.0 in various tasks due to its bilingualism. With certain hardware, it offers faster inference rates and reproducibility with open-source resources. The versatile platform supports NVIDIA, Hygon DCU, Ascend 910, and soon Sunway.

User objects: 

– Researchers

– Data scientists

– NLP professionals

– Linguists studying bilingualism

– Content creators

– Businesses operating in English and Chinese markets

– Developers integrating language models

– Cross-platform developers

>>> Use Chat GPT Demo with OpenAI’s equivalent smart bot experience


Francesco Chiaramonte

Francesco Chiaramonte is renowned for over 10 years of experience, from machine learning to AI entrepreneurship. He shares knowledge and is committed to advancing artificial intelligence, hoping that AI will drive societal progress.

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