FMInference / DejaVu
☆310Updated 11 months ago
Alternatives and similar repositories for DejaVu:
Users that are interested in DejaVu are comparing it to the libraries listed below
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆298Updated 8 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆431Updated 7 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆241Updated this week
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆279Updated 2 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆259Updated 4 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆361Updated 3 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆336Updated 7 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆415Updated 6 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆611Updated 2 weeks ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆240Updated 4 months ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆452Updated this week
- Latency and Memory Analysis of Transformer Models for Training and Inference☆401Updated 2 weeks ago
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆207Updated 7 months ago
- ☆231Updated 10 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆317Updated this week
- A collection of memory efficient attention operators implemented in the Triton language.☆253Updated 9 months ago
- A low-latency & high-throughput serving engine for LLMs☆325Updated last month
- Explorations into some recent techniques surrounding speculative decoding☆248Updated 3 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆202Updated last year
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆346Updated last week
- This repository contains integer operators on GPUs for PyTorch.☆196Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 8 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆198Updated 3 months ago
- Zero Bubble Pipeline Parallelism☆373Updated 2 weeks ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆278Updated 2 weeks ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆771Updated 6 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆173Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆236Updated last month
- Disaggregated serving system for Large Language Models (LLMs).☆507Updated 7 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆191Updated last year