kyegomez / AttentionIsOFFByOneLinks
Implementation of "Attention Is Off By One" by Evan Miller
☆196Updated 2 years ago
Alternatives and similar repositories for AttentionIsOFFByOne
Users that are interested in AttentionIsOFFByOne are comparing it to the libraries listed below
Sorting:
- Official implementation of TransNormerLLM: A Faster and Better LLM☆248Updated last year
- (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …☆181Updated last year
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆333Updated 8 months ago
- ☆199Updated last year
- Lion and Adam optimization comparison☆64Updated 2 years ago
- Low-bit optimizers for PyTorch☆132Updated 2 years ago
- A Tight-fisted Optimizer☆50Updated 2 years ago
- Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”☆250Updated 2 months ago
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- Root Mean Square Layer Normalization☆256Updated 2 years ago
- ☆156Updated 2 years ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆334Updated 7 months ago
- [EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer☆63Updated 2 years ago
- Rectified Rotary Position Embeddings☆382Updated last year
- ☆186Updated last year
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆109Updated 2 years ago
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆369Updated 2 years ago
- A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…☆106Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆319Updated 8 months ago
- The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )☆224Updated 11 months ago
- Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"☆383Updated 2 years ago
- ☆105Updated last year
- ☆292Updated 11 months ago
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆125Updated 10 months ago
- ☆213Updated last year
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆309Updated last year
- Reorder-based post-training quantization for large language model☆194Updated 2 years ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆369Updated last year
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆230Updated last year