PaLM

co/conceptofmind/palm-1b All of the C4 data has been pre-tokenized with the GPTNEOX tokenizer and blocked at sequence lengths of 8192. This will help to save you the large cost of preprocessing data. The datasets are available on Hugging Face. An example chunk can be found here: https://huggingface.co/datasets/conceptofmind/c4_0-to-20_neo... The original unprocessed C4 dataset used can be found on the Hugging Face hub here: https://huggingface.co/datasets/c4 If you would like to preprocess your own dataset for training there is a dataset builder script provided. This uses Hugging Face datasets to efficiently map, tokenize, and block the data: https://github.com/conceptofmind/PaLM/blob/main/build_datase... A distributed training script is provided so that you may train or fine-tune your own PaLM models using Hugging Face accelerate. More information and experiments about the training will be detailed in the repository: https://github.com/conceptofmind/PaLM/blob/main/train_distri... The models were trained with Flash Attention, Xpos Rotary Embeddings for better length extrapolation, and multi-query single-key-value attention for more efficient decoding: https://arxiv.org/abs/2205.14135 Further instruction-tuning will be done on the new FLAN datasets we have released. https://huggingface.co/datasets/conceptofmind/cot_submix_ori... You can find his twitter here: https://twitter.com/ShayneRedford A basic inference script was provided in the repository which you can play around with. You may want to experiment with hyperparameters in order to get generations of varying quality. Changing a variable such as temperature matters a lot: https://github.com/conceptofmind/PaLM/blob/main/inference.py Different inference optimizations such as Flash Attention, Hidet, and Torch compile are used. You can read more about the Hidet compiler and project here: https://pytorch.org/blog/introducing-hidet/ Our work on Toolformer, PaLM, and related projects is all thanks to the generous sponsorship by CarperAI and StabilityAI: https://github.com/CarperAI This is not an official Google or StabilityAI product.