alpa-projects / alpaLinks
Training and serving large-scale neural networks with auto parallelization.
☆3,157Updated last year
Alternatives and similar repositories for alpa
Users that are interested in alpa are comparing it to the libraries listed below
Sorting:
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,063Updated 3 months ago
- ☆2,889Updated last week
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,582Updated last year
- Transformer related optimization, including BERT, GPT☆6,321Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,836Updated this week
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆2,500Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,166Updated last month
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,192Updated last year
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,679Updated 3 weeks ago
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆4,711Updated last year
- PyTorch extensions for high performance and large scale training.☆3,376Updated 5 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,420Updated last year
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.☆1,005Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,763Updated this week
- Repo for external large-scale work☆6,545Updated last year
- 4 bits quantization of LLaMA using GPTQ☆3,071Updated last year
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,110Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,627Updated last week
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.☆4,825Updated 10 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,062Updated last year
- Foundation Architecture for (M)LLMs☆3,117Updated last year
- Cramming the training of a (BERT-type) language model into limited compute.☆1,349Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,512Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,289Updated 2 months ago
- Running large language models on a single GPU for throughput-oriented scenarios.☆9,362Updated 11 months ago
- Mesh TensorFlow: Model Parallelism Made Easier☆1,616Updated last year
- PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.☆767Updated 2 years ago
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,689Updated 11 months ago
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆3,583Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,635Updated last year