Unverified50% confidenceFactExact time
MuRIL achieves a reading efficiency of 1.23-2.26 tokens/word on all 11 tested Indian scripts, with zero UNK and zero byte fallback.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedTokens are generated by the BPE (Byte Pair Encoding) algorithm; in English text, each token corresponds on average to approximately 4 characters (about 0.75 words).64% similarUnverifiedA token is the smallest unit of measurement for text processed by a model; OpenAI uses the BPE algorithm to encode high-frequency character combinations as single tokens, with approximately 75 English words equaling roughly 100 tokens.63% similarUnverifiedMuRIL is an encoder with an Indian-language vocabulary, and its parameter count is only one-fifth of TinyLlama's.61% similarUnverifiedIf most of the prompt is repeated and fixed while cache_read_input_tokens stays near zero for a long time, it can be almost certain that the prefix changed between requests.61% similar
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