quanta-fine-tuning / quantaLinks
(NeurIPS 2024) QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
☆32Updated this week
Alternatives and similar repositories for quanta
Users that are interested in quanta are comparing it to the libraries listed below
Sorting:
- A thoroughly investigated survey for tensorial neural networks.☆141Updated 10 months ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆63Updated 8 months ago
- Tensor-Train decomposition in pytorch☆76Updated 9 months ago
- summer school materials☆46Updated 2 years ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆36Updated last year
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆28Updated last year
- 😎 A curated list of tensor decomposition resources for model compression.☆87Updated last week
- ☆33Updated last year
- [NeurIPS '25] Multi-Token Prediction Needs Registers☆24Updated 2 months ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆123Updated 11 months ago
- ☆13Updated 10 months ago
- Collect optimizer related papers, data, repositories☆98Updated last year
- Implementation of LPLR algorithm for matrix compression☆31Updated 2 years ago
- [NAACL 24 Oral] LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models☆38Updated 10 months ago
- AdaSplash: Adaptive Sparse Flash Attention (aka Flash Entmax Attention)☆29Updated last month
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning☆36Updated last year
- This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…☆25Updated last year
- [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training☆35Updated 7 months ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆65Updated last year
- Omnigrok: Grokking Beyond Algorithmic Data☆62Updated 2 years ago
- ☆61Updated last year
- Here we will test various linear attention designs.☆61Updated last year
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆117Updated 4 months ago
- Physics of Language Models, Part 4☆260Updated 3 months ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆32Updated last year
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Updated last year
- Neural Tangent Kernel Papers☆119Updated 10 months ago
- Unofficial Implementation of Selective Attention Transformer☆17Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year