huggingface/accelerate v0.21.0

v0.21.0: Model quantization and NPUs

on GitHub

Model quantization with bitsandbytes

You can now quantize any model (no just Transformer models) using Accelerate. This is mainly for models having a lot of linear layers. See the documentation for more information!

• Bnb quantization by @SunMarc in #1626

Support for Ascend NPUs

Accelerate now supports Ascend NPUs.

• Add Ascend NPU accelerator support by @statelesshz in #1676

What's new?

Accelerate now requires Python 3.8+ and PyTorch 1.10+ :

• 🚨🚨🚨 Spring cleaning: Python 3.8 🚨🚨🚨 by @muellerzr in #1661

• 🚨🚨🚨 Spring cleaning: PyTorch 1.10 🚨🚨🚨 by @muellerzr in #1662

• [doc build] Use secrets by @mishig25 in #1551

• Update launch.mdx by @LiamSwayne in #1553

• Avoid double wrapping of all accelerate.prepare objects by @muellerzr in #1555

• Update README.md by @LiamSwayne in #1556

• Fix load_state_dict when there is one device and disk by @sgugger in #1557

• Fix tests not being ran on multi-GPU nightly by @muellerzr in #1558

• fix the typo when setting the "_accelerator_prepared" attribute by @Yura52 in #1560

• [core] Fix possibility to passNoneType objects in prepare by @younesbelkada in #1561

• Reset dataloader end_of_datalaoder at each iter by @sgugger in #1562

• Update big_modeling.mdx by @LiamSwayne in #1564

• [bnb] Fix failing int8 tests by @younesbelkada in #1567

• Update gradient sync docs to reflect importance of optimizer.step() by @dleve123 in #1565

• Update mixed precision integrations in README by @sgugger in #1569

• Raise error instead of warn by @muellerzr in #1568

• Introduce listify, fix tensorboard silently failing by @muellerzr in #1570

• Check for bak and expand docs on directory structure by @muellerzr in #1571

• Perminant solution by @muellerzr in #1577

• fix the bug in xpu by @mingxiaoh in #1508

• Make sure that we only set is_accelerator_prepared on items accelerate actually prepares by @muellerzr in #1578

• Expand prepare() doc by @muellerzr in #1580

• Get Torch version using importlib instead of pkg_resources by @catwell in #1585

• improve oob performance when use mpirun to start DDP finetune without accelerate launch by @sywangyi in #1575

• Update training_tpu.mdx by @LiamSwayne in #1582

• Return false if CUDA available by @muellerzr in #1581

• fix logger level by @caopulan in #1579

• Fix test by @muellerzr in #1586

• Update checkpoint.mdx by @LiamSwayne in #1587

• FSDP updates by @pacman100 in #1576

• Update modeling.py by @ain-soph in #1595

• Integration tests by @muellerzr in #1593

• Add triggers for CI workflow by @muellerzr in #1597

• Remove asking xpu plugin for non xpu devices by @abhilash1910 in #1594

• Remove GPU safetensors env variable by @sgugger in #1603

• reset end_of_dataloader for dataloader_dispatcher by @megavaz in #1609

• fix for arc gpus by @abhilash1910 in #1615

• Ignore low_zero option when only device is available by @sgugger in #1617

• Fix failing multinode tests by @muellerzr in #1616

• Doc to md by @sgugger in #1618

• Fix tb issue by @muellerzr in #1623

• Fix workflow by @muellerzr in #1625

• Fix transformers sync bug with accumulate by @muellerzr in #1624

• fixes offload dtype by @SunMarc in #1631

• fix: Megatron is not installed. please build it from source. by @yuanwu2017 in #1636

• deepspeed z2/z1 state_dict bloating fix by @pacman100 in #1638

• Swap disable rich by @muellerzr in #1640

• fix autocasting bug by @pacman100 in #1637

• fix modeling low zero by @abhilash1910 in #1634

• Add skorch to runners by @muellerzr in #1646

• add save model by @SunMarc in #1641

• Change dispatch_model when we have only one device by @SunMarc in #1648

• Doc save model by @SunMarc in #1650

• Fix device_map by @SunMarc in #1651

• Check for port usage before launch by @muellerzr in #1656

• [BigModeling] Add missing check for quantized models by @younesbelkada in #1652

• Bump integration by @muellerzr in #1658

• TIL by @muellerzr in #1657

• docker cpu py version by @muellerzr in #1659

• [BigModeling] Final fix for dispatch int8 and fp4 models by @younesbelkada in #1660

• remove safetensor dep on shard_checkpoint by @SunMarc in #1664

• change the import place to avoid import error by @pacman100 in #1653

• Update broken Runhouse link in examples/README.md by @dongreenberg in #1668

• Bnb quantization by @SunMarc in #1626

• replace save funct in doc by @SunMarc in #1672

• Doc big model inference by @SunMarc in #1670

• Add docs for saving Transformers models by @deppen8 in #1671

• fix bnb tests by @SunMarc in #1679

• Fix workflow CI by @muellerzr in #1690

• remove duplicate class by @SunMarc in #1691

• update readme in examples by @statelesshz in #1678

• Fix nightly tests by @muellerzr in #1696

• Fixup docs by @muellerzr in #1697

• Improve quality errors by @muellerzr in #1698

• Move mixed precision wrapping ahead of DDP/FSDP wrapping by @ChenWu98 in #1682

• Add offload for 8-bit model by @SunMarc in #1699

• Deepcopy on Accelerator to return self by @muellerzr in #1694

• Update tracking.md by @stevhliu in #1702

• Skip tests when bnb isn't available by @muellerzr in #1706

• Fix launcher validation by @abhilash1910 in #1705

• Fixes for issue #1683: failed to run accelerate config in colab by @Erickrus in #1692

• Fix the bug where DataLoaderDispatcher gets stuck in an infinite wait when the dataset is an IterDataPipe during multi-process training. by @yuxinyuan in #1709

• add multi_gpu decorator by @SunMarc in #1712

• Modify loading checkpoint behavior by @SunMarc in #1715

• fix version by @SunMarc in #1701

• Keep old behavior by @muellerzr in #1716

• Optimize get_scale to reduce async calls by @muellerzr in #1718

• Remove duplicate code by @muellerzr in #1717

• New tactic by @muellerzr in #1719

• add Comfy-UI by @pacman100 in #1723

• add compatibility with peft by @SunMarc in #1725

Significant community contributions

The following contributors have made significant changes to the library over the last release:

• @LiamSwayne
  • Update launch.mdx (#1553)
  • Update README.md (#1556)
  • Update big_modeling.mdx (#1564)
  • Update training_tpu.mdx (#1582)
  • Update checkpoint.mdx (#1587)
• @mingxiaoh
  • fix the bug in xpu (#1508)
• @statelesshz
  • update readme in examples (#1678)
  • Add Ascend NPU accelerator support (#1676)
• @ChenWu98
  • Move mixed precision wrapping ahead of DDP/FSDP wrapping (#1682)