DS3Lab / AC-SGDLinks
Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.
☆28Updated 2 years ago
Alternatives and similar repositories for AC-SGD
Users that are interested in AC-SGD are comparing it to the libraries listed below
Sorting:
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- ☆20Updated 2 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated 2 years ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆41Updated last year
- ☆58Updated last year
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆15Updated last year
- ☆54Updated 7 months ago
- ☆19Updated 2 years ago
- The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"☆45Updated 2 years ago
- ☆38Updated 10 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆89Updated 2 years ago
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆66Updated 7 months ago
- ☆94Updated 3 years ago
- ☆86Updated 3 years ago
- [ICLR 2025] DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference☆28Updated 3 weeks ago
- Odysseus: Playground of LLM Sequence Parallelism☆70Updated last year
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆20Updated last year
- Compression for Foundation Models☆33Updated 3 months ago
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆12Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆37Updated 11 months ago
- An external memory allocator example for PyTorch.☆14Updated 3 years ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs