efeslab / Atom
[MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
☆307Updated 10 months ago
Alternatives and similar repositories for Atom:
Users that are interested in Atom are comparing it to the libraries listed below
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆348Updated 8 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆295Updated 3 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆276Updated 5 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆383Updated 5 months ago
- ☆241Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆161Updated 9 months ago
- ☆316Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆248Updated 6 months ago
- This repository contains integer operators on GPUs for PyTorch.☆204Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆117Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆121Updated last month
- ☆126Updated 2 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆206Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆73Updated 8 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆263Updated 2 weeks ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆284Updated 2 months ago
- Fast low-bit matmul kernels in Triton☆297Updated this week
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆131Updated 3 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 5 months ago
- Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆124Updated last month
- The official implementation of the EMNLP 2023 paper LLM-FP4☆198Updated last year
- ☆84Updated last month
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆444Updated 9 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆97Updated last month
- Dynamic Memory Management for Serving LLMs without PagedAttention☆364Updated 3 weeks ago
- Code Repository of Evaluating Quantized Large Language Models☆123Updated 8 months ago
- A low-latency & high-throughput serving engine for LLMs☆354Updated 3 weeks ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆663Updated 2 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆179Updated 2 weeks ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆270Updated 2 months ago