Alternatives and similar repositories for nanoT5

Users that are interested in nanoT5 are comparing it to the libraries listed below

• JonasGeiping / cramming
  Cramming the training of a (BERT-type) language model into limited compute.
  ☆1,349Updated last year
• abertsch72 / unlimiformer
  Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"
  ☆1,063Updated last year
• alasdairforsythe / tokenmonster
  Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript
  ☆603Updated last year
• Liuhong99 / Sophia
  The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
  ☆974Updated last year
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆893Updated last year
• lucidrains / RETRO-pytorch
  Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
  ☆873Updated last year
• abacaj / fine-tune-mistral
  Fine-tune mistral-7B on 3090s, a100s, h100s
  ☆714Updated last year
• mlfoundations / open_lm
  A repository for research on medium sized language models.
  ☆511Updated 4 months ago
• HazyResearch / safari
  Convolutions for Sequence Modeling
  ☆898Updated last year
• sanjeevanahilan / nanoChatGPT
  A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick
  ☆293Updated last year
• HazyResearch / H3
  Language Modeling with the H3 State Space Model
  ☆517Updated 2 years ago
• inverse-scaling / prize
  A prize for finding tasks that cause large language models to show inverse scaling
  ☆614Updated last year
• pbelcak / UltraFastBERT
  The repository for the code of the UltraFastBERT paper
  ☆518Updated last year
• lucidrains / MEGABYTE-pytorch
  Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
  ☆652Updated 9 months ago
• changjonathanc / minLoRA
  minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.
  ☆478Updated 2 years ago
• tysam-code / hlb-gpt
  Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…
  ☆348Updated last year
• lucidrains / memorizing-transformers-pytorch
  Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …
  ☆635Updated 2 years ago
• kuleshov-group / llmtools
  Finetuning Large Language Models on One Consumer GPU in 2 Bits
  ☆731Updated last year
• arielnlee / Platypus
  Code for fine-tuning Platypus fam LLMs using LoRA
  ☆627Updated last year
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆720Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,128Updated last year
• rmihaylov / falcontune
  Tune any FALCON in 4-bit
  ☆464Updated 2 years ago
• persimmon-ai-labs / adept-inference
  Inference code for Persimmon-8B
  ☆414Updated 2 years ago
• HazyResearch / m2
  Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"
  ☆560Updated 9 months ago
• kyegomez / Sophia
  Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.
  ☆382Updated last year
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆530Updated 2 months ago
• microsoft / mup
  maximal update parametrization (µP)
  ☆1,606Updated last year
• sabetAI / BLoRA
  batched loras
  ☆346Updated 2 years ago
• huggingface / large_language_model_training_playbook
  An open collection of implementation tips, tricks and resources for training large language models
  ☆481Updated 2 years ago
• SkunkworksAI / hydra-moe
  ☆416Updated last year