tonyzhao-jt / LLM-PQLinks
Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"
☆32Updated last year
Alternatives and similar repositories for LLM-PQ
Users that are interested in LLM-PQ are comparing it to the libraries listed below
Sorting:
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆19Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆25Updated last year
- ☆62Updated 11 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆48Updated 7 months ago
- ☆54Updated last year
- A resilient distributed training framework☆95Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆86Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- LLM serving cluster simulator☆100Updated last year
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆46Updated 6 months ago
- Explore Inter-layer Expert Affinity in MoE Model Inference☆9Updated last year
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆61Updated 11 months ago
- ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction (NIPS'24)☆40Updated 5 months ago
- ☆50Updated 6 months ago
- ☆25Updated last year
- Stateful LLM Serving☆70Updated 2 months ago
- ☆23Updated 10 months ago
- ☆16Updated 2 months ago
- NEO is a LLM inference engine built to save the GPU memory crisis by CPU offloading☆35Updated 3 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆121Updated last year
- Code for MLSys 2024 Paper "SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models"☆17Updated last year
- ☆105Updated 7 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆157Updated 8 months ago
- 16-fold memory access reduction with nearly no loss☆94Updated 2 months ago
- ☆18Updated last year
- ☆146Updated 10 months ago
- ☆10Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆113Updated last month
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆39Updated last month