PiotrNawrot / nanoT5Links
Fast & Simple repository for pre-training and fine-tuning T5-style models
☆1,009Updated last year
Alternatives and similar repositories for nanoT5
Users that are interested in nanoT5 are comparing it to the libraries listed below
Sorting:
- Cramming the training of a (BERT-type) language model into limited compute.☆1,349Updated last year
- Ungreedy subword tokenizer and vocabulary trainer for Python, Go & Javascript☆600Updated last year
- Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"☆1,063Updated last year
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆969Updated last year
- 🤖 A PyTorch library of curated Transformer models and their composable components☆895Updated last year
- Fine-tune mistral-7B on 3090s, a100s, h100s☆717Updated last year
- Convolutions for Sequence Modeling☆898Updated last year
- Language Modeling with the H3 State Space Model☆518Updated last year
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆871Updated last year
- The repository for the code of the UltraFastBERT paper☆519Updated last year
- Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"☆559Updated 8 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆719Updated last year
- Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …☆634Updated 2 years ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,127Updated last year
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆731Updated last year
- minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.☆474Updated 2 years ago
- A repository for research on medium sized language models.☆510Updated 3 months ago
- A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick☆293Updated last year
- Tune any FALCON in 4-bit☆465Updated 2 years ago
- Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch☆651Updated 8 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆463Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆349Updated last year
- batched loras☆345Updated 2 years ago
- An open collection of implementation tips, tricks and resources for training large language models☆479Updated 2 years ago
- A prize for finding tasks that cause large language models to show inverse scaling☆615Updated last year
- What would you do with 1000 H100s...☆1,100Updated last year
- Inference code for Persimmon-8B☆415Updated 2 years ago
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆456Updated 2 years ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- maximal update parametrization (µP)☆1,599Updated last year