| import sentencepiece as spm | |
| spm.SentencePieceTrainer.train(input="/researchdisk/training_dataset_sentences/train.txt", model_prefix="tokenizer", | |
| model_type="bpe", split_digits=True, vocab_size=64256, byte_fallback=True, | |
| normalization_rule_name="nfkc", | |
| user_defined_symbols=["[INST]", "[/INST]", "<<SYS>>", "<</SYS>>"], | |
| required_chars="abcdefghijklmnopqrstuvwxyzåäöABCDEFGHIJKLMNOPQRSTUVWXYZÅÄÖ", | |
| train_extremely_large_corpus=True, | |
| input_sentence_size=500000000, shuffle_input_sentence=True, | |
| num_threads=96) |