FMInference / DejaVu
☆283Updated 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.☆387Updated 3 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆277Updated 4 months ago
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆433Updated 2 months ago
- KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆240Updated 3 weeks ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆278Updated 3 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆184Updated 2 weeks ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆302Updated 2 months ago
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆196Updated 2 months ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆352Updated last week
- ☆183Updated 6 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆195Updated last week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆196Updated last week
- ☆121Updated this week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆310Updated last month
- A collection of memory efficient attention operators implemented in the Triton language.☆215Updated 5 months ago
- This repository contains integer operators on GPUs for PyTorch.☆181Updated last year
- Disaggregated serving system for Large Language Models (LLMs).☆348Updated 2 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆146Updated 3 months ago
- Explorations into some recent techniques surrounding speculative decoding☆209Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆222Updated this week
- A low-latency & high-throughput serving engine for LLMs☆231Updated last month
- Ring attention implementation with flash attention☆578Updated this week
- Fast inference from large lauguage models via speculative decoding☆562Updated 2 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆166Updated 10 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆177Updated last year
- Latency and Memory Analysis of Transformer Models for Training and Inference☆352Updated 5 months ago
- Zero Bubble Pipeline Parallelism☆279Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆407Updated this week
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆253Updated 2 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆135Updated 5 months ago