Alternatives and similar repositories for AttentionIsOFFByOne:

Users that are interested in AttentionIsOFFByOne are comparing it to the libraries listed below

• OpenNLPLab / TransnormerLLM
  Official implementation of TransNormerLLM: A Faster and Better LLM
  ☆243Updated last year
• OpenNLPLab / lightning-attention
  Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
  ☆272Updated last month
• Arnav0400 / ViT-Slim
  Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”
  ☆249Updated last year
• transformer-vq / transformer_vq
  ☆189Updated last year
• fkodom / grouped-query-attention-pytorch
  (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …
  ☆159Updated 10 months ago
• bojone / rerope
  Rectified Rotary Position Embeddings
  ☆360Updated 10 months ago
• haochengxi / Train_Transformers_with_INT4
  ☆145Updated last year
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆125Updated last year
• kyegomez / FlashAttention20
  Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
  ☆102Updated last year
• yxli2123 / LoftQ
  ☆220Updated 9 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆278Updated 3 weeks ago
• QingruZhang / AdaLoRA
  AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
  ☆309Updated last year
• Outsider565 / LoRA-GA
  ☆182Updated 5 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆154Updated 9 months ago
• lucidrains / st-moe-pytorch
  Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
  ☆321Updated 9 months ago
• lucidrains / recurrent-memory-transformer-pytorch
  Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
  ☆407Updated 2 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆129Updated last year
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆121Updated 2 months ago
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆99Updated 9 months ago
• lucidrains / soft-moe-pytorch
  Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
  ☆270Updated 11 months ago
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆506Updated 5 months ago
• OpenNLPLab / Transnormer
  [EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer
  ☆60Updated last year
• nengwp / Lion-vs-Adam
  Lion and Adam optimization comparison
  ☆60Updated 2 years ago
• fkodom / yet-another-retnet
  A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…
  ☆104Updated last year
• bojone / tiger
  A Tight-fisted Optimizer
  ☆47Updated 2 years ago
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆164Updated last month
• OscarXZQ / weight-selection
  ☆179Updated 5 months ago
• kyegomez / NaViT
  My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"
  ☆224Updated last month
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆150Updated 3 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆191Updated last year