srush / do-we-need-attentionLinks
☆167Updated 2 years ago
Alternatives and similar repositories for do-we-need-attention
Users that are interested in do-we-need-attention are comparing it to the libraries listed below
Sorting:
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆181Updated 6 months ago
- Understand and test language model architectures on synthetic tasks.☆248Updated 3 months ago
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆137Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆136Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- nanoGPT-like codebase for LLM training☆114Updated 2 months ago
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- ☆38Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆87Updated last year
- ☆92Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated 2 years ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*☆86Updated 2 years ago
- ☆53Updated last year
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆224Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆198Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆244Updated 7 months ago
- Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …☆116Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- ☆150Updated 2 years ago
- ☆83Updated 2 years ago
- A toolkit for scaling law research ⚖☆55Updated 11 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- Experiment of using Tangent to autodiff triton☆81Updated last year
- ☆83Updated 2 years ago
- Scaling Data-Constrained Language Models☆343Updated 6 months ago
- Implementation of the Llama architecture with RLHF + Q-learning☆170Updated 11 months ago