McGill-NLP / length-generalizationLinks
Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
☆137Updated last year
Alternatives and similar repositories for length-generalization
Users that are interested in length-generalization are comparing it to the libraries listed below
Sorting:
- Language models scale reliably with over-training and on downstream tasks☆98Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆82Updated 3 years ago
- Efficient Transformers with Dynamic Token Pooling☆63Updated 2 years ago
- ☆75Updated last year
- ☆45Updated last year
- [NeurIPS 2023] Learning Transformer Programs☆163Updated last year
- Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …☆114Updated 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 last year
- ☆53Updated last year
- ☆66Updated last year
- Code repository for the c-BTM paper☆107Updated last year
- Randomized Positional Encodings Boost Length Generalization of Transformers☆82Updated last year
- ☆159Updated 2 years ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- Evaluation pipeline for the BabyLM Challenge 2023.☆77Updated last year
- ☆56Updated last year
- ☆49Updated last year
- A repository for transformer critique learning and generation☆90Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆240Updated 3 months ago
- Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22☆66Updated 2 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆116Updated 2 years ago
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆70Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- ☆39Updated last year
- A toolkit for scaling law research ⚖☆51Updated 7 months ago
- Recurrent Memory Transformer☆150Updated 2 years ago
- Code for Zero-Shot Tokenizer Transfer☆135Updated 7 months ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated last year
- ☆52Updated last year