GitHub - pytorch/torchchat: Run PyTorch LLMs locally on servers, desktop and mobileYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - pytorch/torchtune: A Native-PyTorch Library for LLM Fine-tuning
torchtune is a PyTorch-native library for easily authoring, fine-tuning and experimenting with LLMs. We're excited to announce our alpha release! torchtune provides: Native-PyTorch implementations of popular LLMs using composable and modular building blocks Easy-to-use and hackable training recipes for popular fine-tuning techniques (LoRA, QLoRA) - no trainers, no frameworks, just PyTorch! YAML co
GitHub - pytorch/torchrec: Pytorch domain library for recommendation systems
Parallelism primitives that enable easy authoring of large, performant multi-device/multi-node models using hybrid data-parallelism/model-parallelism. The TorchRec sharder can shard embedding tables with different sharding strategies including data-parallel, table-wise, row-wise, table-wise-row-wise, column-wise, table-wise-column-wise sharding. The TorchRec planner can automatically generate opti
Releases · pytorch/pytorch
PyTorch 2.3 Release notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug fixes Performance Documentation Highlights We are excited to announce the release of PyTorch® 2.3! PyTorch 2.3 offers support for user-defined Triton kernels in torch.compile, allowing for users to migrate their own Triton kernels from eager without experiencing performance complications
Release Stable release of automatic mixed precision (AMP). New Beta features include a TensorPipe backend for RPC, memory profiler, and several improvements to distributed training for both RPC and DDP. · pytorch/pytorch
PyTorch 1.6.0 Release Notes Highlights Backwards Incompatible Changes Deprecations New Features Improvements Bug Fixes Performance Documentation Highlights The PyTorch 1.6 release includes a number of new APIs, tools for performance improvement and profiling, as well as major updates to both distributed data parallel (DDP) and remote procedure call (RPC) based distributed training. A few of the hi
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
GitHub - pytorch-labs/segment-anything-fast: A batched offline inference oriented version of segment-anything
GitHub - pytorch-labs/gpt-fast: Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
Release PyTorch 1.12: TorchArrow, Functional API for Modules and nvFuser, are now available · pytorch/pytorch
GitHub - pytorch/functorch: functorch is JAX-like composable function transforms for PyTorch.
Release PyTorch 1.11, TorchData, and functorch are now available · pytorch/pytorch
GitHub - pytorch/data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
Release PyTorch 1.10 Release, including CUDA Graphs APIs, Frontend and compiler improvements · pytorch/pytorch
Release TorchServe v0.4.0 Release Notes · pytorch/serve
Release Small bug fix release · pytorch/pytorch