FMInference / DejaVu
☆289Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for DejaVu
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆391Updated 3 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆278Updated 4 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆241Updated last month
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆195Updated 3 months ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆357Updated this week
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆443Updated last week
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆188Updated 3 weeks ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆202Updated 2 weeks ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆311Updated 2 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- ☆188Updated 6 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆238Updated last week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆208Updated 3 weeks ago
- 📰 Must-read papers and blogs on Speculative Decoding ⚡️☆471Updated last week
- This repository contains integer operators on GPUs for PyTorch.☆183Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆219Updated 5 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆355Updated last week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆284Updated 3 months ago
- A low-latency & high-throughput serving engine for LLMs☆245Updated 2 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆180Updated last year
- Ring attention implementation with flash attention☆585Updated last week
- Zero Bubble Pipeline Parallelism☆281Updated last week
- Explorations into some recent techniques surrounding speculative decoding☆211Updated last year
- Fast inference from large lauguage models via speculative decoding☆569Updated 2 months ago
- Disaggregated serving system for Large Language Models (LLMs).☆359Updated 3 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆254Updated 2 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆624Updated 2 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆138Updated 5 months ago
- Microsoft Automatic Mixed Precision Library☆525Updated last month
- A large-scale simulation framework for LLM inference☆277Updated last month