* feat(doc): add links to new features on README
* fix merge error
* remove blurb about older FSDP2 integration
* update blog link
* chore: update cce commit
* feat: update model support into readme
* Update README.md
Co-authored-by: salman <salman.mohammadi@outlook.com>
* chore: lint num spaces
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Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: salman <salman.mohammadi@outlook.com>
* use nanmena for loss aggregation (CP fix)
* use regular asserts
* small changes to make tests isolate
* combining evaluation_loop patches
* fix
* delete unused
* fix check
* slurm example and make preprocess play nicely
* start slurm if it init file exists
* remove incorrect comment
* feat: add slurm docs
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Co-authored-by: NanoCode012 <nano@axolotl.ai>
* fix for parallelism config from trainer
* fix handling of parallelism_config w accelerate
* add todo for removal
* update to latest axolotl-contribs-mit for optimizer fix too
* synchronize training after checkpoint save
* dir spelling
* use latest accelerate main
* fix to not use partial state parallelism_config
* more fixeS
* use most recent accelerate fix
* fix cpu_ram_efficient_loading to meta devices from rank 0 to prevent CPU RAM oom
* improve handling of broadcasting fsdp2 state dict
* support for openai chat template with thinking key as the reasoning trace
* address PR feedback
* refactor to remove dependency on PartialState for parallelism config
* bump accelerate, gptoss fixes
* limit meta fixes to fsdp2 for now
* fixes for gpt oss
* fixup examples, don't use cpu-ram-efficient-loading for now
* remove problematic barrier
* patch parallelism config
* reorder comparison
* device mesh fixes
* make pure CP work
* lint
* add kernels for gpt oss models
* add support for gpt-oss
* typo incorrect package
* fix: layout for configs and added wandb/epochs
* add gptoss example w offload and set moe leaf for z3
* add support for Mxfp4Config from yaml
* update yaml to use official model
* fix lora and don't allow triton to go above 3.3.1
* fix lr and tweak vram use
* fix range for triton since pinned wasn't compatible with toch 2.6.0
* update cce with gpt oss patches
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Co-authored-by: NanoCode012 <nano@axolotl.ai>
* Add support for Dion optimizer
* dion training kwargs
* fix var names
* no dion 8bit for now
* use updated axolotl-contribs-mit for dion optimizer
* add smoke test for dion optimizer
* add docs
* fix typo during edits
* fix test to not remove load in 8bit
* fix: deepcopy lr in RexLR scheduler.
This fixes a problem where when the lr is a scalar tensor, the base_lrs in the get_lr function end up being references to the current learning rate, rather than the correct initial learning rate.
See also related pytorch PR https://github.com/pytorch/pytorch/pull/127190/
* fix: add missing torch.Tensor import
* jagged lr restart scheudler
var name fix
make sure to create scheduler first
* wire things together
* more fixes
* fix for nesting scheduler and first anneal phase
* no need for relora trainer anymore since we've generalized the relora scheduler
* remove redundant relora scheduler and lint
* update relora e2e test for updated params
* need restart steps for relora test
* update quarto docs for dropped relora trainer
* update example yaml
* drop verbose arg
* min lr scale support for jagged lr
* don't let min_lr be nonetype
* cleanup args
* make TiledMLP work with FSDP
* cleanup/gc at start of train to prevent large VRAM spike
* chore: lint
* generic function for non-deepspeed training
* unify patch to fix imports
* update readme for ALST and add examples
* make deepspeed attribute on params check more robust
* update with new info from PR review
* we don't need to call check_dataset_labels when skip_prepare_dataset is set
* Fix actual bug and revert prior fix
* warn and early return instead of raising an error
* use error
* feat: add gemma3n cce
* feat: add sample config
* feat: add gemma3n multimodal mode
* feat: add audio example
* feat: support audio and return pixel values in collator
* feat: support unmask only assistant region (gemma3n for now)
* feat(doc): add notes for audio loading
* feat: add audio support for gemma3n
* feat: update examples
* feat: add gemma3n to the docs
* fix: add link at top
* feat(doc): clarify additional requirements
* fix: mllama missing aspect ratio
* fix: mllama need attention fixes for fa2
* Partially Revert "fix: mllama need attention fixes for fa2"
This reverts commit a0bfdd1777.
* fix: disable FA2 for mllama in vision mode
* feat: update configs to use proper attention
* fix: support other vision features
* feat(doc): clarify requirements for gemma3n