jxiw / BiGSLinks
Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE benchmark with subquadratic complexity in length (or without attention).
☆116Updated last year
Alternatives and similar repositories for BiGS
Users that are interested in BiGS are comparing it to the libraries listed below
Sorting:
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆138Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- ☆69Updated last year
- Experiments for efforts to train a new and improved t5☆76Updated last year
- My explorations into editing the knowledge and memories of an attention network☆35Updated 3 years ago
- ☆82Updated last year
- ☆76Updated last year
- ☆56Updated 2 years ago
- ☆53Updated last year
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆61Updated 3 years ago
- Google Research☆46Updated 3 years ago
- 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
- Amos optimizer with JEstimator lib.☆82Updated last year
- ☆167Updated 2 years ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- ☆53Updated last year
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆116Updated 2 years ago
- Utilities for Training Very Large Models☆58Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- TART: A plug-and-play Transformer module for task-agnostic reasoning☆202Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- Code repository for the c-BTM paper☆108Updated 2 years ago
- ☆44Updated last year
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆91Updated 2 years ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆243Updated 6 months ago
- ☆32Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- ☆57Updated last year