VijayLingam95 / SVFT
☆26Updated last week
Alternatives and similar repositories for SVFT:
Users that are interested in SVFT are comparing it to the libraries listed below
- ☆10Updated 4 months ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆29Updated 2 months ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆30Updated 3 months ago
- ☆27Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆79Updated last year
- ☆31Updated last year
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆38Updated last year
- ☆27Updated 8 months ago
- ☆19Updated 8 months ago
- ☆17Updated 2 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆52Updated 6 months ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆14Updated 7 months ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆71Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆60Updated 10 months ago
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆72Updated 11 months ago
- [NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging☆48Updated 2 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆65Updated 3 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆44Updated 3 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆27Updated 10 months ago
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆46Updated 2 months ago
- Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"☆18Updated 10 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆140Updated 11 months ago
- Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)☆56Updated 4 months ago
- Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"☆51Updated 5 months ago
- [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely☆21Updated 7 months ago
- ☆30Updated 11 months ago
- A block pruning framework for LLMs.☆17Updated 8 months ago
- Official code for the paper "Attention as a Hypernetwork"☆24Updated 7 months ago
- ☆32Updated last year