ELS-RD / kernlLinks
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
☆1,588Updated last year
Alternatives and similar repositories for kernl
Users that are interested in kernl are comparing it to the libraries listed below
Sorting:
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,071Updated last year
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,690Updated last year
- Library for 8-bit optimizers and quantization routines.☆780Updated 3 years ago
- Cramming the training of a (BERT-type) language model into limited compute.☆1,361Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,090Updated 6 months ago
- Pipeline Parallelism for PyTorch☆785Updated last year
- An open-source efficient deep learning framework/compiler, written in python.☆740Updated 4 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,247Updated last year
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,701Updated 2 weeks ago
- maximal update parametrization (µP)☆1,662Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,116Updated this week
- Training and serving large-scale neural networks with auto parallelization.☆3,173Updated 2 years ago
- PyTorch extensions for high performance and large scale training.☆3,393Updated 9 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,590Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,857Updated this week
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆981Updated last year
- SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, …☆2,574Updated this week
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,007Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,429Updated last year
- A pytorch quantization backend for optimum☆1,020Updated 2 months ago
- Automatically split your PyTorch models on multiple GPUs for training & inference☆657Updated 2 years ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆877Updated 2 years ago
- ☆413Updated 2 years ago
- ☆551Updated last year
- Fast Inference Solutions for BLOOM☆566Updated last year
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆1,018Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,315Updated 10 months ago
- Language Modeling with the H3 State Space Model☆522Updated 2 years ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆956Updated last month
- Microsoft Automatic Mixed Precision Library☆635Updated last month