jax-ml / scaling-bookLinks
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
☆807Updated last week
Alternatives and similar repositories for scaling-book
Users that are interested in scaling-book are comparing it to the libraries listed below
Sorting:
- ☆552Updated last year
- Simple MPI implementation for prototyping or learning☆299Updated 5 months ago
- Building blocks for foundation models.☆590Updated 2 years ago
- Minimal yet performant LLM examples in pure JAX☆226Updated 2 weeks ago
- Dion optimizer algorithm☆416Updated last week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆592Updated 5 months ago
- PyTorch Single Controller☆948Updated this week
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆469Updated this week
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆453Updated 10 months ago
- ☆287Updated last year
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆711Updated this week
- Open-source framework for the research and development of foundation models.☆711Updated this week
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆748Updated last week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆154Updated 2 years ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆328Updated 2 months ago
- ☆949Updated 2 months ago
- Best practices & guides on how to write distributed pytorch training code☆564Updated 2 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆690Updated this week
- What would you do with 1000 H100s...☆1,143Updated 2 years ago
- ☆224Updated last month
- ☆463Updated last year
- A Quirky Assortment of CuTe Kernels☆749Updated this week
- ☆538Updated 5 months ago
- jax-triton contains integrations between JAX and OpenAI Triton☆436Updated last month
- PyTorch-native post-training at scale☆585Updated last week
- Puzzles for learning Triton☆2,226Updated last year
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,947Updated 4 months ago
- Puzzles for exploring transformers☆382Updated 2 years ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆829Updated 5 months ago
- Implementation of Diffusion Transformer (DiT) in JAX☆304Updated last year