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bytellama-43m-cc

mittagessen

ByteLlama is a series of tiny byte-level language models built on the Llama architecture. Instead of a learned subword tokenizer, ByteLlama operates directly on raw UTF-8 bytes, using a simple octet tokenizer with a vocabulary size of 512. All models are trained on the **Historical and Cultural** subset of the Common Corpus, i.e. the open culture and pre-1900 filtered portion. Each model has been trained on 100 billion tokens (100,000 steps with an effective batch size of 512 and a sequence length of 2048). The models are trained with use in the party in mind. They expect a **language token** as the first input after the BOS token, indicating the language of the follow-up prompt. The tokenizer supports over 200 languages identified by ISO 639-3 codes. Given the distribution of languages in the training corpus it is unknown which languages the model has actually seen during training.

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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