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lightning v2.6.5 Release Notes

Release Date: 2026-05-27 // 14 days ago

  • 🔄 Changes in 2.6.5

    Lightning Fabric

    🔄 Changed

    • Use fs.pipe() for S3/GCS checkpoint uploads in _atomic_save (#21595

    Full commit list : 2.6.4 -> 2.6.5

    Contributors

    🆕 New Contributors

    We thank all folks who submitted issues, features, fixes and doc changes. It's the only way we can collectively make Lightning ⚡ better for everyone, nice job!

    In particular, we would like to thank the authors and co-authors of the pull-requests above:

    @c-pozzi @justusschock


Previous changes from v2.6.4

  • 🔄 Changes in 2.6.4

    PyTorch Lightning

    ✂ Removed

    • ✂ Removed support for Neptune logger (#21572).

    Note: We usually don't remove features in a patch release, however in this case it's an exception since even without removing it the integration would be broken due to Neptune being acquired and sunsetting public service

    🔄 Changed

    • Raised minimum LitLogger version to 2026-03-17 (#21591)

    🛠 Fixed

    • Fixed val_check_interval raising ValueError when limit_val_batches=0 and interval exceeds training batches (#21560)
    • 🛠 Fixed FSDP mixed precision (bf16-mixed, 16-mixed) initializing model parameters in half precision instead of fp32 (#21586)
    • 🛠 Fixed device_mesh type hint in FSDPStrategy to accept a 2-element tuple via the CLI (#21581)
    • 🛠 Fixed RichModelSummary model size display formatting (#21467)
    • 🛠 Fixed floating-point precision in SimpleProfiler duration aggregation by using math.fsum (#21525)

    Lightning Fabric

    🛠 Fixed

    • 🛠 Fixed FSDP mixed precision (bf16-mixed, 16-mixed) initializing model parameters in half precision instead of fp32 (#21586)
    • 🛠 Fixed device_mesh type hint in FSDPStrategy to accept a 2-element tuple via the CLI (#21581)

    Full commit list : 2.6.1 -> 2.6.4

    Contributors

    🆕 New Contributors

    We thank all folks who submitted issues, features, fixes and doc changes. It's the only way we can collectively make Lightning ⚡ better for everyone, nice job!

    In particular, we would like to thank the authors and co-authors of the pull-requests above:

    @AsherJingkongChen, @Borda, @bhimrazy, @deependujha, @justusschock, @littlebullGit, @ManasVardhan, @taha-yassine