ofirpress / attention_with_linear_biasesLinks
Code for the ALiBi method for transformer language models (ICLR 2022)
☆535Updated last year
Alternatives and similar repositories for attention_with_linear_biases
Users that are interested in attention_with_linear_biases are comparing it to the libraries listed below
Sorting:
- Sequence modeling with Mega.☆296Updated 2 years ago
- Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch☆644Updated 5 months ago
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆230Updated 9 months ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆866Updated last year
- Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch☆409Updated 5 months ago
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆379Updated last year
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆694Updated 6 months ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆341Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆452Updated last year
- Long Range Arena for Benchmarking Efficient Transformers☆757Updated last year
- [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation☆471Updated last year
- Rectified Rotary Position Embeddings☆373Updated last year
- Recurrent Memory Transformer☆149Updated last year
- Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint☆395Updated last year
- An implementation of local windowed attention for language modeling☆454Updated 5 months ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆538Updated last year
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆364Updated last year
- Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …☆635Updated last year
- Library for 8-bit optimizers and quantization routines.☆716Updated 2 years ago
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆766Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆464Updated 2 years ago
- Large Context Attention☆716Updated 5 months ago
- ☆355Updated last year
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆214Updated 10 months ago
- DSIR large-scale data selection framework for language model training☆251Updated last year
- Scaling Data-Constrained Language Models☆335Updated 9 months ago
- Implementation of Block Recurrent Transformer - Pytorch☆219Updated 10 months ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆204Updated last year
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways☆823Updated 2 years ago