Azure / MS-AMPLinks
Microsoft Automatic Mixed Precision Library
☆626Updated last year
Alternatives and similar repositories for MS-AMP
Users that are interested in MS-AMP are comparing it to the libraries listed below
Sorting:
- Zero Bubble Pipeline Parallelism☆432Updated 5 months ago
- Ring attention implementation with flash attention☆901Updated last month
- Large Context Attention☆743Updated last week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆916Updated last year
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆576Updated last week
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆317Updated 7 months ago
- [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
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆389Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,288Updated 7 months ago
- ☆341Updated last year
- Pipeline Parallelism for PyTorch☆780Updated last year
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆216Updated last year
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆928Updated 2 weeks ago
- PyTorch bindings for CUTLASS grouped GEMM.☆154Updated last week
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆480Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆698Updated 2 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆281Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆320Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆219Updated 2 years ago
- GPTQ inference Triton kernel☆310Updated 2 years ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆459Updated 6 months ago
- ☆205Updated 5 months ago
- This repository contains the experimental PyTorch native float8 training UX☆223Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆270Updated 2 months ago
- A Quirky Assortment of CuTe Kernels☆627Updated last week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆433Updated 10 months ago
- A throughput-oriented high-performance serving framework for LLMs☆904Updated last month
- Applied AI experiments and examples for PyTorch☆299Updated 2 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆265Updated 3 months ago
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆540Updated 5 months ago