cli99 / llm-analysisLinks
Latency and Memory Analysis of Transformer Models for Training and Inference
☆450Updated 4 months ago
Alternatives and similar repositories for llm-analysis
Users that are interested in llm-analysis are comparing it to the libraries listed below
Sorting:
- A low-latency & high-throughput serving engine for LLMs☆412Updated 3 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆414Updated 3 months ago
- ☆333Updated last year
- Zero Bubble Pipeline Parallelism☆424Updated 4 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆219Updated last year
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆547Updated last year
- A large-scale simulation framework for LLM inference☆431Updated last month
- Disaggregated serving system for Large Language Models (LLMs).☆685Updated 5 months ago
- ☆609Updated 4 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆216Updated last year
- A curated list of awesome projects and papers for distributed training or inference☆241Updated 11 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆278Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆263Updated last month
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆231Updated 2 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆747Updated 6 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆473Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆90Updated 2 years ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆355Updated last week
- Allow torch tensor memory to be released and resumed later☆126Updated 2 weeks ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆333Updated 2 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆142Updated 2 weeks ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆268Updated 6 months ago
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆205Updated last week
- Applied AI experiments and examples for PyTorch☆295Updated 2 weeks ago
- ☆121Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆118Updated last week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆377Updated last year
- Materials for learning SGLang☆562Updated last week
- A throughput-oriented high-performance serving framework for LLMs☆886Updated last month