UbiquitousLearning / Paper-list-resource-efficient-large-language-model
☆99Updated last year
Alternatives and similar repositories for Paper-list-resource-efficient-large-language-model:
Users that are interested in Paper-list-resource-efficient-large-language-model are comparing it to the libraries listed below
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Curated collection of papers in MoE model inference☆106Updated last month
- LLM serving cluster simulator☆93Updated 10 months ago
- This is a list of awesome edgeAI inference related papers.☆95Updated last year
- Survey Paper List - Efficient LLM and Foundation Models☆240Updated 5 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆22Updated 10 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆85Updated last year
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆153Updated 5 months ago
- This repository is established to store personal notes and annotated papers during daily research.☆113Updated this week
- paper and its code for AI System☆281Updated last month
- A resilient distributed training framework☆89Updated 11 months ago
- MobiSys#114☆21Updated last year
- A curated list of early exiting (LLM, CV, NLP, etc)☆44Updated 7 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆233Updated 2 weeks ago
- ☆199Updated last year
- The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]☆19Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆108Updated last year
- Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"☆28Updated last year
- a curated list of high-quality papers on resource-efficient LLMs 🌱☆106Updated this week
- Summary of some awesome work for optimizing LLM inference☆64Updated last week
- ☆58Updated 5 months ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆53Updated last year
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- ☆80Updated 2 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆112Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆101Updated last month
- Surrogate-based Hyperparameter Tuning System☆28Updated last year
- ☆14Updated 7 months ago
- ☆69Updated 3 years ago