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.
  ☆1,332Updated 11 months ago
• alasdairforsythe / tokenmonster
  Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript
  ☆581Updated 11 months ago
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆697Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,108Updated last year
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆888Updated last year
• Liuhong99 / Sophia
  The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
  ☆958Updated 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
• abacaj / fine-tune-mistral
  Fine-tune mistral-7B on 3090s, a100s, h100s
  ☆711Updated last year
• abertsch72 / unlimiformer
  Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"
  ☆1,059Updated last year
• arielnlee / Platypus
  Code for fine-tuning Platypus fam LLMs using LoRA
  ☆628Updated last year
• persimmon-ai-labs / adept-inference
  Inference code for Persimmon-8B
  ☆415Updated last year
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,048Updated last year
• cccntu / minLoRA
  minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.
  ☆460Updated last year
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,489Updated last year
• HazyResearch / ama_prompting
  Ask Me Anything language model prompting
  ☆546Updated last year
• sabetAI / BLoRA
  batched loras
  ☆342Updated 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"
  ☆451Updated last year
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,118Updated last year
• bigscience-workshop / bigscience
  Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
  ☆997Updated 10 months ago
• huggingface / large_language_model_training_playbook
  An open collection of implementation tips, tricks and resources for training large language models
  ☆473Updated 2 years ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆809Updated 11 months ago
• rmihaylov / falcontune
  Tune any FALCON in 4-bit
  ☆466Updated last year
• HazyResearch / H3
  Language Modeling with the H3 State Space Model
  ☆518Updated last year
• sanjeevanahilan / nanoChatGPT
  A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick
  ☆289Updated last year
• VikParuchuri / textbook_quality
  Generate textbook-quality synthetic LLM pretraining data
  ☆498Updated last year
• pbelcak / UltraFastBERT
  The repository for the code of the UltraFastBERT paper
  ☆514Updated last year
• lucidrains / RETRO-pytorch
  Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
  ☆865Updated last year
• lucidrains / self-rewarding-lm-pytorch
  Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
  ☆1,384Updated last year
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆770Updated last year
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆454Updated last year