nep-tokenizer / metadata.json
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Release Nep-Tokenizer v2 (64k): Native Hugging Face BPE with Mark-Aware Pre-tokenization and 100% Devanagari Block Coverage
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{
"name": "DOAIxILPRL-KU/nep-tokenizer",
"tier": "64k",
"vocab_size": 64053,
"version": "v2.0",
"institution": "Department of Artificial Intelligence (DOAI) & Information and Language Processing Research Lab (ILPRL), Kathmandu University",
"description": "Standard 64k vocabulary for Nepali & Multilingual Large Language Models",
"model_type": "byte-level BPE",
"backend": "tokenizers (Rust PreTrainedTokenizerFast)",
"normalization": "NFC",
"pre_tokenizer": "Isolated Digit Grouping [0-9०-९]{1,3} + Mark-Aware Unicode Regex [\\p{L}\\p{M}]+ + ByteLevel",
"decoder": "ByteLevel",
"devanagari_block_coverage": "100.0% (all 128 assigned codepoints guaranteed)",
"matra_cohesion_rate": "100.0%",
"roundtrip_fidelity": "100.0%",
"special_tokens": [
"<|pad|>",
"<|bos|>",
"<|eos|>",
"<|unk|>",
"<|sep|>",
"<|start_turn|>",
"<|end_turn|>",
"<|think|>",
"<|/think|>",
"<|tool_call|>",
"<|/tool_call|>",
"<|tool_result|>",
"<|/tool_result|>"
]
}