├── .gitignore ├── README.md ├── config.py ├── create_data ├── dolma │ ├── convert_url.py │ ├── dolma_v1_6.txt │ ├── prep_c4.sh │ ├── prep_data_dolma.py │ └── scripts │ │ ├── count_books.sh │ │ ├── count_c4.sh │ │ ├── count_cc_en_head.sh │ │ ├── count_cc_en_middle.sh │ │ ├── count_cc_en_tail.sh │ │ ├── count_data_dolma.py │ │ ├── count_pes2o.sh │ │ ├── count_reddit.sh │ │ ├── count_stack.sh │ │ ├── count_wiki.sh │ │ ├── get_dolma.py │ │ ├── prep_data_dolma.py │ │ ├── prep_tfrecord_books.sh │ │ ├── prep_tfrecord_c4.sh │ │ ├── prep_tfrecord_cc_en_head.sh │ │ ├── prep_tfrecord_cc_en_middle.sh │ │ ├── prep_tfrecord_cc_en_tail.sh │ │ ├── prep_tfrecord_pes2o.sh │ │ ├── prep_tfrecord_reddit.sh │ │ ├── prep_tfrecord_stack.sh │ │ └── prep_tfrecord_wiki.sh └── llava │ ├── download_llava_instruct.sh │ ├── download_llava_pretrain.sh │ ├── llava_instruct_dataset_builder.py │ └── llava_pretrain_dataset_builder.py ├── data ├── __init__.py ├── data_factory.py ├── data_utils.py ├── mixtures.py ├── preprocessors.py ├── prompts.py ├── seqio_tokenizer.py ├── tasks.py ├── tokenizer_gemma.model ├── tokenizer_llama.model ├── tokenizer_mistral.model └── transformer_tokenizer.py ├── docs ├── dataset.md ├── llava.md ├── open_llm.md └── soup_llm.md ├── examples ├── debug.sh ├── llama2_7B_keep_training_wiki_mixture.sh ├── serve_mistral_7B.sh └── serve_tinyllama_1B.sh ├── gpu_startup_script_local.sh ├── models ├── llava │ ├── convert_hf_ll3m.py │ ├── llava_1.5_config.gin │ ├── llava_1.6_config.gin │ ├── model.py │ ├── train.py │ └── vit.py ├── openLLM │ ├── convert_hf_ll3m.py │ ├── model.py │ ├── serve.py │ └── train.py ├── phi2 │ ├── convert_hf_ll3m.py │ ├── model.py │ ├── serve.py │ └── train.py ├── soupLLM │ ├── config.gin │ ├── convert_hf_ll3m.py │ ├── model.py │ └── train.py └── soupLMM │ ├── config.gin │ ├── convert_hf_ll3m.py │ ├── model.py │ └── train.py ├── module ├── __init__.py ├── bpt.py ├── checkpoint.py ├── conversion_utils.py ├── jax_utils.py ├── lm_eval_harness.py ├── 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