MoE-Inf / awesome-moe-inferenceLinks
Curated collection of papers in MoE model inference
β197Updated 4 months ago
Alternatives and similar repositories for awesome-moe-inference
Users that are interested in awesome-moe-inference are comparing it to the libraries listed below
Sorting:
- Awesome-LLM-KV-Cache: A curated list of πAwesome LLM KV Cache Papers with Codes.β321Updated 3 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papβ¦β255Updated 3 months ago
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding coβ¦β151Updated 4 months ago
- This repository is established to store personal notes and annotated papers during daily research.β128Updated this week
- Summary of some awesome work for optimizing LLM inferenceβ76Updated 2 weeks ago
- InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)β138Updated 11 months ago
- π° Must-read papers on KV Cache Compression (constantly updating π€).β454Updated last week
- β120Updated 5 months ago
- LLM serving cluster simulatorβ106Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inferenceβ295Updated 7 months ago
- β62Updated last year
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)β282Updated 2 months ago
- β72Updated 3 years ago
- nnScaler: Compiling DNN models for Parallel Trainingβ113Updated this week
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of β¦β224Updated last week
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.β26Updated last year
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline modβ¦β480Updated 9 months ago
- High performance Transformer implementation in C++.β125Updated 5 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".β88Updated 2 years ago
- β103Updated 7 months ago
- paper and its code for AI Systemβ311Updated 2 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.β198Updated this week
- A low-latency & high-throughput serving engine for LLMsβ379Updated 3 weeks ago
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and oβ¦β107Updated last week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systemsβ177Updated 8 months ago
- β84Updated 3 years ago
- A baseline repository of Auto-Parallelism in Training Neural Networksβ144Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Servingβ310Updated 11 months ago
- LLM Inference analyzer for different hardware platformsβ73Updated 3 weeks ago
- β21Updated last year