zhengzangw / Sequence-SchedulingLinks
PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
☆93Updated 2 years ago
Alternatives and similar repositories for Sequence-Scheduling
Users that are interested in Sequence-Scheduling are comparing it to the libraries listed below
Sorting:
- ☆89Updated 3 years ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆69Updated last year
- A resilient distributed training framework☆96Updated last year
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆208Updated last year
- Keyformer proposes KV Cache reduction through key tokens identification and without the need for fine-tuning☆59Updated last year
- ☆130Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆134Updated last year
- ☆64Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆176Updated last year
- ☆83Updated 3 months ago
- ☆147Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆34Updated last year
- 16-fold memory access reduction with nearly no loss☆109Updated 10 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆233Updated 2 years ago
- ATC23 AE☆46Updated 2 years ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆222Updated last year
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆65Updated last year
- ☆302Updated 6 months ago
- ☆83Updated last year
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆502Updated last year
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆214Updated 11 months ago
- ☆164Updated 6 months ago
- ☆84Updated 9 months ago
- ☆77Updated 4 years ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆368Updated 6 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆283Updated 10 months ago
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆148Updated last month
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆278Updated this week
- Stateful LLM Serving☆95Updated 10 months ago
- Explore Inter-layer Expert Affinity in MoE Model Inference☆16Updated last year