thu-pacman / FasterMoE
☆72Updated 2 years ago
Alternatives and similar repositories for FasterMoE:
Users that are interested in FasterMoE are comparing it to the libraries listed below
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆87Updated last week
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆204Updated 4 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆195Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆112Updated last month
- ☆70Updated 3 years ago
- PyTorch bindings for CUTLASS grouped GEMM.☆58Updated 2 months ago
- ☆80Updated 2 months ago
- A resilient distributed training framework☆88Updated 9 months ago
- A low-latency & high-throughput serving engine for LLMs☆296Updated 4 months ago
- ☆96Updated 4 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆151Updated 7 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆152Updated 6 months ago
- ATC23 AE☆44Updated last year
- ☆51Updated 9 months ago
- ☆48Updated 7 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆84Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆290Updated 6 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆64Updated 7 months ago
- ☆68Updated 2 weeks ago
- ☆40Updated last month
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆213Updated 2 months ago
- ☆50Updated 3 months ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆37Updated 2 years ago
- ☆212Updated 8 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆234Updated last month
- ☆59Updated last month
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆27Updated 2 months ago
- Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆107Updated last month
- Summary of system papers/frameworks/codes/tools on training or serving large model☆56Updated last year