FMInference / DejaVu
☆313Updated last year
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☆304Updated 9 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆258Updated this week
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆438Updated 8 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆270Updated 5 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆339Updated 8 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆288Updated 3 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆376Updated 4 months ago
- This repository contains integer operators on GPUs for PyTorch.☆202Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆248Updated 5 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆643Updated last month
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆159Updated 9 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆444Updated 7 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆206Updated last year
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆477Updated this week
- ☆237Updated 11 months ago
- Explorations into some recent techniques surrounding speculative decoding☆254Updated 4 months ago
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆209Updated 8 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆403Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆348Updated this week
- A low-latency & high-throughput serving engine for LLMs☆341Updated this week
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆183Updated 2 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆280Updated last month
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆376Updated last week
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆259Updated 2 months ago
- Microsoft Automatic Mixed Precision Library☆593Updated 6 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆195Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆262Updated 10 months ago
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆199Updated 4 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…☆246Updated last month
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆184Updated this week