zaydzuhri / softpick-attentionLinks
Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"
☆85Updated last month
Alternatives and similar repositories for softpick-attention
Users that are interested in softpick-attention are comparing it to the libraries listed below
Sorting:
- ☆86Updated last year
- ☆102Updated 3 months ago
- 📄Small Batch Size Training for Language Models☆63Updated 3 weeks ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆129Updated last year
- H-Net Dynamic Hierarchical Architecture☆80Updated last month
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 10 months ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 7 months ago
- Normalized Transformer (nGPT)☆192Updated 11 months ago
- Collection of autoregressive model implementation☆86Updated 6 months ago
- Token Omission Via Attention☆127Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆101Updated last week
- The official github repo for "Diffusion Language Models are Super Data Learners".☆135Updated 3 weeks ago
- supporting pytorch FSDP for optimizers☆83Updated 10 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated 11 months ago
- Fork of Flame repo for training of some new stuff in development☆18Updated 2 weeks ago
- NanoGPT-speedrunning for the poor T4 enjoyers☆72Updated 6 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆168Updated 3 months ago
- [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction☆72Updated 5 months ago
- ☆81Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- ☆64Updated 7 months ago
- Understand and test language model architectures on synthetic tasks.☆233Updated last month
- Mixture of A Million Experts☆48Updated last year
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆248Updated 8 months ago
- ☆91Updated last year
- Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…☆101Updated last month
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆72Updated this week
- ☆58Updated last year
- ☆251Updated 4 months ago