kyleliang919 / Online-Subspace-Descent
This repo is based on https://github.com/jiaweizzhao/GaLore
☆26Updated 6 months ago
Alternatives and similar repositories for Online-Subspace-Descent:
Users that are interested in Online-Subspace-Descent are comparing it to the libraries listed below
- A repository for research on medium sized language models.☆76Updated 10 months ago
- ☆73Updated 7 months ago
- Using FlexAttention to compute attention with different masking patterns☆42Updated 6 months ago
- ☆16Updated 2 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆44Updated 8 months ago
- The repository contains code for Adaptive Data Optimization☆20Updated 3 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆26Updated 11 months ago
- Here we will test various linear attention designs.☆60Updated 10 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆59Updated 5 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆38Updated 5 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆44Updated last month
- ☆30Updated 2 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆46Updated last year
- Triton Implementation of HyperAttention Algorithm☆47Updated last year
- ☆87Updated 5 months ago
- DPO, but faster 🚀☆40Updated 3 months ago
- Language models scale reliably with over-training and on downstream tasks☆96Updated 11 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆71Updated 11 months ago
- ☆51Updated 10 months ago
- ☆76Updated 2 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆80Updated 5 months ago
- Codebase for Instruction Following without Instruction Tuning☆33Updated 5 months ago
- ☆30Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆71Updated 4 months ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆31Updated 7 months ago
- ☆60Updated 10 months ago
- Long Context Extension and Generalization in LLMs☆50Updated 6 months ago