Unverified50% confidenceFactExact time
In TinyLlama's vocabulary, the codepoint coverage is 0% for Odia, 1% for Telugu, and 2% for Kannada.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedTinyLlama-1.1B's tokenizer produces an average of 1.34 subword tokens per word when processing Latin script, and an average of 22.60 tokens per word when processing Kannada.72% similarUnverifiedTinyLlama's UNK rate is 0.0% on all tested scripts, because SentencePiece's byte fallback mechanism never produces UNK tokens.68% similarUnverifiedA token is the smallest unit by which large language models process text, roughly corresponding to half to one English word or half a Chinese character.65% similarUnverifiedUnder naive byte-level tokenization, Bengali is compressed to an average of approximately 1.4 characters per token, compared to approximately 3.9 for English, causing the linguistic balance of the corpus to be inverted.65% similarUnverifiedIn the NLP context, low-resource typically refers to having fewer than hundreds of thousands of bilingual parallel sentence pairs available, sometimes even fewer than ten thousand.64% similar
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