Leiay / looped_transformerLinks
☆32Updated last year
Alternatives and similar repositories for looped_transformer
Users that are interested in looped_transformer are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆82Updated 10 months ago
- ☆53Updated last year
- ☆85Updated last year
- Official implementation of the transformer (TF) architecture suggested in a paper entitled "Looped Transformers as Programmable Computers…☆27Updated 2 years ago
- Stick-breaking attention☆60Updated 2 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆160Updated 2 months ago
- ☆82Updated last year
- ☆23Updated 7 months ago
- nanoGPT-like codebase for LLM training☆107Updated 3 months ago
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆62Updated 4 months ago
- ☆99Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆176Updated last year
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆70Updated 2 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Understand and test language model architectures on synthetic tasks.☆225Updated 2 months ago
- ☆83Updated 2 years ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆42Updated 11 months ago
- ☆49Updated last year
- ☆38Updated last year
- Universal Neurons in GPT2 Language Models☆30Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- Official Pytorch Implementation of "The Curse of Depth in Large Language Models" by Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin,Yefen…☆55Updated last month
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆87Updated last month
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆77Updated 9 months ago
- ☆36Updated last week
- ☆34Updated 8 months ago
- Muon fsdp 2☆43Updated last month
- ☆104Updated 11 months ago
- Test-time-training on nearest neighbors for large language models☆46Updated last year