efeslab / AtomLinks
[MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
☆320Updated last year
Alternatives and similar repositories for Atom
Users that are interested in Atom are comparing it to the libraries listed below
Sorting:
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆327Updated 3 weeks ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆389Updated last year
- ☆341Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆219Updated 2 years ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆169Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆265Updated 3 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆433Updated 10 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆221Updated 2 years ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆338Updated 3 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆217Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆144Updated 2 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆124Updated 4 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆107Updated 6 months ago
- ☆284Updated 3 months ago
- ☆145Updated 8 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆83Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆248Updated this week
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆122Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆179Updated last week
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆482Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆766Updated 7 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆237Updated 11 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆143Updated 8 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆160Updated 5 months ago
- 16-fold memory access reduction with nearly no loss☆105Updated 6 months ago
- ☆82Updated 9 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆130Updated 10 months ago
- ☆59Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆317Updated 7 months ago