{ "timestamp_utc": "2026-05-10T23:09:35.690038+00:00", "source_repo": "unsloth/llama-2-7b", "out_dir": "/scratch/bvandur1/zhuicon1/tokenizers/llama2-unsloth-tokenizer", "use_fast": true, "properties": { "source_repo": "unsloth/llama-2-7b", "tokenizer_class": "LlamaTokenizer", "is_fast": true, "vocab_size": 32000, "model_max_length": 1000000000000000019884624838656, "bos_token": "", "bos_token_id": 1, "eos_token": "", "eos_token_id": 2, "unk_token": "", "unk_token_id": 0, "pad_token": "", "pad_token_id": 0 }, "sanity_check": { "test_text": "Hello world. This is a tokenizer test.", "ids_add_special_tokens_false": [ 15043, 3186, 29889, 910, 338, 263, 5993, 3950, 1243, 29889 ], "ids_add_special_tokens_true": [ 1, 15043, 3186, 29889, 910, 338, 263, 5993, 3950, 1243, 29889 ], "n_tokens_no_special": 10, "n_tokens_with_special": 11, "delta_special_tokens": 1, "confirmed_use_add_special_tokens_false": true }, "round_trip_passed": true, "saved_files": [ "tokenizer.json", "tokenizer_config.json" ], "tokenizer_note": "Use this local path as --tokenizer in all downstream scripts. Nanotron pretraining must use the same path to guarantee token counts are directly comparable to the statistics output.", "usage": { "stats_script": "python 01_build_clean_pool_and_token_stats.py --tokenizer /scratch/bvandur1/zhuicon1/tokenizers/llama2-unsloth-tokenizer ...", "nanotron_config": "tokenizer_name_or_path: /scratch/bvandur1/zhuicon1/tokenizers/llama2-unsloth-tokenizer" } }