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A GPT model for Estonian (large-size), trained from scratch on 2.2 billion words (Estonian National Corpus + News Crawl + Common Crawl). Currently trained for 1 epoch (but already better than gpt-4-est-base :-) to be updated)
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- num. of layers: 24
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- num. of heads: 24
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- embedding size: 1536
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A GPT model for Estonian (large-size), trained from scratch on 2.2 billion words (Estonian National Corpus + News Crawl + Common Crawl). Currently trained for 1 epoch (but already better than gpt-4-est-base :-) to be updated)
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### Format
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For training data was prepended with a text domain tag, and it should be added as prefix when using the model: >general<, >web<, >news<, >doaj< and >wiki< (standing for general texts, web crawled texts, news, article abstracts and wikipedia texts). Use the prefixes like this, e.g: ">web< Kas tead, et".
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### Model details
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- num. of layers: 24
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- num. of heads: 24
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- embedding size: 1536
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