catie-aq / flashT5Links
A fast implementation of T5/UL2 in PyTorch using Flash Attention
☆112Updated 2 months ago
Alternatives and similar repositories for flashT5
Users that are interested in flashT5 are comparing it to the libraries listed below
Sorting:
- Truly flash T5 realization!☆71Updated last year
- Code for Zero-Shot Tokenizer Transfer☆142Updated 11 months ago
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆116Updated 2 years ago
- Fast, Modern, and Low Precision PyTorch Optimizers☆119Updated last week
- Official implementation of "GPT or BERT: why not both?"☆63Updated 5 months ago
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.☆96Updated 2 years ago
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.☆59Updated 6 months ago
- Official code release for "SuperBPE: Space Travel for Language Models"☆77Updated last month
- Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…☆28Updated last year
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆231Updated last year
- LTG-Bert☆34Updated last year
- Minimum Bayes Risk Decoding for Hugging Face Transformers☆60Updated last year
- State-of-the-art paired encoder and decoder models (17M-1B params)☆53Updated 5 months ago
- Trully flash implementation of DeBERTa disentangled attention mechanism.☆67Updated 3 months ago
- ☆124Updated last year
- Experiments with generating opensource language model assistants☆97Updated 2 years ago
- Multipack distributed sampler for fast padding-free training of LLMs☆203Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆138Updated last year
- ☆82Updated last year
- ☆101Updated 3 years ago
- ☆101Updated 7 months ago
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆244Updated 7 months ago
- Experiments for efforts to train a new and improved t5☆76Updated last year
- Code repository for the c-BTM paper☆108Updated 2 years ago
- Supercharge huggingface transformers with model parallelism.☆77Updated 5 months ago
- Datasets collection and preprocessings framework for NLP extreme multitask learning☆189Updated 5 months ago
- ☆39Updated last year
- ☆48Updated last year