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.
  ☆1,331Updated 10 months ago
• abertsch72 / unlimiformer
  Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"
  ☆1,060Updated last year
• alasdairforsythe / tokenmonster
  Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript
  ☆576Updated 9 months ago
• lucidrains / RETRO-pytorch
  Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
  ☆863Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,101Updated last year
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆884Updated last year
• Liuhong99 / Sophia
  The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
  ☆956Updated last year
• abacaj / fine-tune-mistral
  Fine-tune mistral-7B on 3090s, a100s, h100s
  ☆710Updated last year
• HazyResearch / safari
  Convolutions for Sequence Modeling
  ☆877Updated 10 months ago
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆695Updated last year
• lucidrains / memorizing-transformers-pytorch
  Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …
  ☆632Updated last year
• rmihaylov / falcontune
  Tune any FALCON in 4-bit
  ☆466Updated last year
• persimmon-ai-labs / adept-inference
  Inference code for Persimmon-8B
  ☆415Updated last year
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,470Updated last year
• arielnlee / Platypus
  Code for fine-tuning Platypus fam LLMs using LoRA
  ☆629Updated last year
• HazyResearch / H3
  Language Modeling with the H3 State Space Model
  ☆520Updated last year
• SkunkworksAI / hydra-moe
  ☆412Updated last year
• lucidrains / MEGABYTE-pytorch
  Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
  ☆642Updated 4 months ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆452Updated last year
• mlfoundations / open_lm
  A repository for research on medium sized language models.
  ☆495Updated this week
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,114Updated last year
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆985Updated 9 months ago
• sanjeevanahilan / nanoChatGPT
  A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick
  ☆289Updated last year
• lucidrains / self-rewarding-lm-pytorch
  Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
  ☆1,378Updated last year
• pbelcak / UltraFastBERT
  The repository for the code of the UltraFastBERT paper
  ☆518Updated last year
• r-three / t-few
  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
  ☆450Updated last year
• bigscience-workshop / t-zero
  Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
  ☆463Updated 2 years ago
• young-geng / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆2,474Updated 8 months ago
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,038Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,242Updated last month