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.
☆1,570Updated 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.☆1,046Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,014Updated 2 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,123Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,450Updated last week
- Pipeline Parallelism for PyTorch☆767Updated 9 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,394Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,417Updated 10 months ago
- maximal update parametrization (µP)☆1,533Updated 10 months ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆866Updated last year
- Library for 8-bit optimizers and quantization routines.☆716Updated 2 years ago
- Cramming the training of a (BERT-type) language model into limited compute.☆1,333Updated 11 months ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support DeepSeek FP8/FP4☆829Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,251Updated 3 months ago
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,000Updated 10 months ago
- An open-source efficient deep learning framework/compiler, written in python.☆700Updated this week
- PyTorch extensions for high performance and large scale training.☆3,328Updated last month
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,687Updated 7 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,797Updated last week
- Training and serving large-scale neural networks with auto parallelization.☆3,136Updated last year
- Fast Inference Solutions for BLOOM☆564Updated 7 months ago
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆961Updated last year
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,645Updated 2 months ago
- ☆543Updated 5 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆689Updated 9 months ago
- Automatically split your PyTorch models on multiple GPUs for training & inference☆654Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,062Updated last year
- Fast & Simple repository for pre-training and fine-tuning T5-style models☆1,005Updated 9 months ago
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆2,929Updated last week
- Language Modeling with the H3 State Space Model☆519Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆831Updated 9 months ago