Commit Graph

390 Commits

Author SHA1 Message Date
Dan Saunders
0437c1a4ba auto-gptq -> gptqmodel 2025-09-26 10:26:44 -04:00
Grant Holmes (Ren)
850c1a5f8d Add FSDP v2 swap memory support + QLoRA compatibility fixes (#3167)
Co-authored-by: salman <salman.mohammadi@outlook.com>
2025-09-26 10:23:59 +01:00
Dan Saunders
f9748c4dc5 Cp fix (#3182)
* patch transformers to allow CP + FA2

* nits

* only patch in CP > 1 case
2025-09-25 12:03:50 -04:00
陈华杰
e8b962d47f feat: support training with JSON string tool arguments (#3136)
* feat: support training with JSON string tool arguments; fix PyArrow data type inconsistent error

* feat: raise error for tool call arguments decode

* Add test_chat_templates_tool_call_string_arguments.py

Add test for string arguments

* fix: change to correct qwen3 tokenizer

* fix: update docs to clarify arguments json

* chore: lint

* fix: duplicate

* chore: revert

* feat: add error to faq

* fix: remove duplicate fixture

---------

Co-authored-by: caoqinping <caoqinping@lixiang.com>
Co-authored-by: gamersover-blog <1611885128@qq.com>
Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-09-25 12:06:21 +07:00
NanoCode012
08d831c3d5 Feat: add qwen3-next (w packing+cce) (#3150)
* feat: upgrade cce for qwen3-next

* feat: add sample qwen3 config

* feat: add packing patch for chunk_gated_delta_rule

* feat: add qwen3 link

* fix: tuple name

* feat: add tested qwen3 config

* fix: improve log

* feat: add patch for fla without packing

* fix: remove fla patch for standard mode

* feat: enable packing

* feat: add qwen3-next tests

* chore: move tests
2025-09-23 11:31:15 +07:00
NanoCode012
09959fac70 Feat: add Magistral Small 2509 and native mistral3 tokenizer support (#3165)
* feat: update mistral common

* feat: add mistral3processor

* fix: loading

* fix: cast pixel_values to fp32

* fix: image tensor conversion

* feat: add FA2 support for pixtral based models

* fix: update mistral small 3.1 to use native tokenizer

* fix: install tips

* fix: improve info on sample dataset files

* chore: move mistral configs into subfolders

* fix: remove unneeded patch

* fix: indent

* feat: add integration tests

* chore: move

* feat: add magistral 2509 docs and example

* fix: convert tensor to bool

* feat: expand tests

* chore: move tests
2025-09-18 15:42:20 +07:00
Dan Saunders
4065bc14c6 Debug log, logging improvements (#3159)
* simplify logging

* remove comment

* progress on debug.log

* add debug-level logger for file log

* simplify

* case insensitivity; 3rd party logging improvements

* simplify

* fix

* tests

* lint

* nits

* nit

* Update tests/test_utils_tee.py

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* cleanup / comments

* fix

* oops

---------

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
2025-09-17 13:27:03 -04:00
Wing Lian
86d6ee7c05 upgrade trl and accelerate (#3161)
* upgrade trl==0.23.0

* upgrade accelerate patch fix

* add hints when using gradient_checkpointing with DPO

* set gradient-checpointing properly
2025-09-16 14:53:01 -04:00
salman
58d67bf98d Migrate QAT API; fix axolotl quantize for QAT-ed models; add NVFP4 (#3107) 2025-09-12 10:55:50 +01:00
Dan Saunders
1b53c49e1a text diffusion training plugin (#3067)
* diffusion training plugin

* cleanup

* nits

* fixes + improvements

* add back in reinit_weights (clobbered?); masking / pretrain fixes

* nits

* cleanup; tests draft

* sample generation, tests fixes

* fixes

* nits

* add inference support; add auto-mask token support

* nits

* nits

* progress

* simplify logging

* lint

* prefix args with diffusion_

* coderabbito

* tests fix

* nit

* nits

* cleanup + nits

* nits

* fix SFT sample gen

* fixes

* fix

* comments

* comments

* lint

* reward model lora fix

* cleanup; fix pretraining_dataset case

* gradio inference

* update cfgs

* update cfgs

* train, generation parity, cleanup

* fix

* simplify

* test

* test fix
2025-09-10 20:27:00 -04:00
NanoCode012
1d32278755 feat: upgrade transformers to v4.56.1 (#3127)
* feat: upgrade transformers to v4.56

* fix handling of CP/SP now that position_ids are default even for unpacked sequences

* feat: monkeypatch list_repo_templates

* fix: apply patch for tests only

* see if updated main works at least

* fix: update to patch release and remove monkeypatch

* remove fsdp2 eval patch

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-09-05 11:00:54 -04:00
Dan Saunders
231a67e70b Streaming SFT support (#3101)
* working

* fixes

* deprecate --iterable; cleanup

* pretrain_multipack_buffer_size -> streaming_multipack_buffer_size

* improvements

* tests

* remove unused

* docs, examples

* nit

* nit

* add val_set_size validation

* val

* nit

* min

* coderabbito

* cleanup

* nit

* add depr warning, cleanup

* nit

* fix test, fix quarto

* fix

* review comments

* review comments

* fix
2025-09-02 12:08:44 -04:00
Wing Lian
c4c4b90638 add tokenizer_save_jinja_files to keep legacy behavior of including chat template in tokenizer_config.json (#3093)
* add tokenizer_save_jinja_files to keep legacy behavior of including chat template in tokenizer_config.json

* fix test import
2025-08-26 09:30:04 -04:00
Dan Saunders
79ddaebe9a Add ruff, remove black, isort, flake8, pylint (#3092)
* black, isort, flake8 -> ruff

* remove unused

* add back needed import

* fix
2025-08-23 23:37:33 -04:00
Dan Saunders
eea7a006e1 make multipack sampler patch explicit (#3096)
* make multipack sampler patch explicit

* combining
2025-08-22 14:29:10 -04:00
VED
0eef385b1a [feat] truncation support with excess_length_strategy (#3068) [skip ci]
* feat:truncation support with excess_len

* pre-commit

* excess_length_strategy

* requested changes

* lint

* added handle_long_seq_in_dataset in sft

* comments improved
2025-08-18 08:39:13 -04:00
Wing Lian
ecbe8b2b61 [GPT-OSS] improve FSDP shard merging and documentation for GPT-OSS (#3073)
* improve fsdp shard merging

* improve logging

* update information on merging and inferencing GPT-OSS

* cleanup readme

* automate cleanup of FSDP prefix

* import GRPO only if necessary

* only modify config.json on rank0

* merge final checkpoint at end of training

* prevent circular import

* Fix saving for sharded state dict

* devx, move merged to output dir

* move import back to top

* Fix stuck merge

* fix conditionals from pr feedback and add test
2025-08-15 21:25:01 -04:00
Wing Lian
130ef7c51a Various fixes for VLMs (#3063)
* fix to not use batch feature indexing

* more vlm fixes

* use AutoModelForImageTextToText

* add example yaml and need num2words for chat template

* improve handling of adding image tokens to conversation

* add lfm2-vl support

* update the lfm readme

* fix markdown and add rtol for loss checks

* feat: add smolvlm2 processing strat

* fix: check for causal-conv1d in lfm models

* feat: add docs for lfm2

* feat: add new models and tips to docs

* feat: add smolvlm2 docs and remove extra dep

* chore: update docs

* feat: add video instructions

* chore: cleanup

* chore: comments

* fix: typo

* feat: add usage stats

* chore: refactor

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-08-15 10:52:57 -04:00
Wing Lian
09145de8fa upgrade transformers==4.55.1 and bitsandbytes==0.47.0 (#3064)
* upgrade transformers==4.55.1

* also upgrade bnb

* remove bnb params4bit patch (upstreamed)

* use latest causal-conv1d

* fix patching ring-flash-attn with now missing imports

---------

Co-authored-by: Dan Saunders <danjsaund@gmail.com>
2025-08-13 19:41:07 -04:00
Wing Lian
d4d84d48af fix ray train and add fsdp2 smoke test for ray trainer (#3053)
* add fsdp2 smokle test for ray trainer

* fix raytrain with fsdp2
2025-08-11 09:31:54 -04:00
Wing Lian
9b12c05660 use exec instead of subprocess to make ctrl+c nicer for cli (#3044)
* use exec instead of subprocess to make ctrl+c nicer for cli

* change var name to use_exec

* simplify to bool

* flush std*

* patch subprocess as mock in test

* fix tests

* more test fixes
2025-08-10 20:22:20 -04:00
Wing Lian
d6b81b3683 update training args check for new defaults (#3051) [skip ci]
* update training args check for new defaults

* skip check for now
2025-08-10 11:26:22 -04:00
Dan Saunders
0ae06d756d use nanmean for loss aggregation (CP fix) (#3033)
* 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
2025-08-08 08:15:17 -04:00
Wing Lian
9d5c95db6f Add support for Accelerate CP, ND examples, and fix for parallel config w fsdp (#3019)
* 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
2025-08-07 21:22:15 -04:00
Wing Lian
4bce713b39 allow custom trainer_cls to be defined as a module reference in the YAML (#3024) [skip ci]
* allow custom trainer_cls to be defined as a module reference in the YAML

* address PR feedback and add test

* add tests
2025-08-06 22:49:19 -04:00
Dan Saunders
d09290f2f4 Lora kernels bias support (#3025)
* lora kernels bias support

* revert rename

* nit

* lint, tests

* satisfying the rabbit
2025-08-06 20:20:08 -04:00
Wing Lian
97e86c6d47 drop old patches and code that are no longer needed (#3007) [skip ci] 2025-08-06 08:02:39 -04:00
Wing Lian
ab49d16e34 Dion optimizer support (#3014)
* 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
2025-08-04 16:33:30 -04:00
Dan Saunders
e758343cac FSDP2 + LoRA kernels (#2992)
* impl fix

* smoke tests

* patches for fsdp2 + qlora compat

* nit

* working fix

* working fix

* fix merge

* minifying patches; update bnb dep

* renaming; adding tests

* remove duplicate test, add dora guard

* generalize __torch_function__

* revert generalization

* update comments
2025-08-03 20:05:17 -04:00
salman
294c7fe7a6 Distributed/ND-Parallel (#2977) 2025-07-31 15:25:02 -04:00
Wing Lian
7b68dfafd7 jagged lr restart scheudler (#1680) [skip ci]
* 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
2025-07-31 13:50:03 -04:00
Wing Lian
563f5eed7a update dependencies - liger + trl (#2987)
* update dependencies

* set dataset processes for tests

* add support for GSPO
2025-07-31 11:17:17 -04:00
Dan Saunders
bb1cae1a20 CLI: add --launcher option, support launcher args, cleanup, refactor (#2924)
* add --launcher option; explicit True/False bool args; small cleanup

* refactor

* add torchrun, accelerate cli args

* add rdzv arg default + tests

* update _quarto

* coderabbit

* fix

* we can't set rdvz_id independently across nodes

* coderabbit

* fix tests
2025-07-30 15:46:56 -04:00
NanoCode012
90e5598930 Feat: Add voxtral, magistral small 1.1, and misc gemma3n fixes (#2979)
* fix: lock version in gemma3n docs

* feat: add sample configs and docs

* chore: move mistraltokenizer into mistral folder

* feat: update instructions

* feat: add dynamic load voxtral

* fix: remove incorrect vision config, add audio

* fix: support voxtral processing strategy and address none in data

* feat: patch mistraltokenizer subclass upstream and add missing

* feat: update cce commit to include voxtral

* fix: remove old comment

* fix: gemma3 patch not needed anymore

* fix: voxtral modeling code

* fix: remove incorrect ds path

* fix: adjust apply chat template parsing

* feat: enable voxtral patch

* fix: patch

* feat: update example datasets

* fix: target layer

* feat: update gemma3n docs

* feat: update voxtral docs

* feat: revert assistant parsing to rely on new upstream changes

* chore: skip test till next PR fix

* fix: override upstream decode due to missing handling

* feat: update readme

* fix: update

* feat: add magistral small think support

* feat: update mistral-common dep

* fix: lint

* fix: remove optional dep

* chore: typing

* chore: simply import

* feat(doc): update differences for 2507

* fix: coderrabbit comments

* feat: update clarify docs on new transformers
2025-07-30 15:57:05 +07:00
Wing Lian
0ff2f172ef Act offload lora fix (#2928) [skip ci]
* fix activation offloading with lora

* update w e2e test

* add docs for error
2025-07-24 16:10:04 -04:00
Dan Saunders
208fb7b8e7 basic torchao fp8 mixed precision training (#2926)
* debug

* debug

* debug

* revert unneeded change

* add accelerator config to base trainer builder

* add back accumulated_cache_size_limit setting

* lint

* accelerator constructor patch for single-GPU torch fp8

* lint

* re-using existing fp8 code

* lint

* remove accelerate patch now fix in latest release

* fix

* docs

* add fp8 + fsdp2 example

* remove unused config

* update config

* smoke tests

* add validator

* add 2.7.0 guard for fsdp2

* fix

* add config descriptions

* add FSDP doc link

* nit

* set force_recompute_fp8_weight_in_bwd with enable_fsdp_float8_all_gather

* better cfg for smoke tests

* add test for accelerate patching

* update fp8 validator
2025-07-22 16:27:47 -04:00
Wing Lian
af8d257aa2 make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]
* make pad_to_sequence_len default to the same value as sample_packing

* remove duplicate validation

* fix test

* update description meta

Co-authored-by: NanoCode012 <nano@axolotl.ai>

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-07-21 11:40:56 -04:00
Wing Lian
db5f6f4693 limit num_proc when saving datasets to disk (#2948) [skip ci]
* limit num_proc when saving datasets to disk

* enforce at least 1 in case it rounds down to 0, and sane divisor is at least 8 rows per worker to save

* update fixtures with dataset processes since that should never be NoneType

* improve reusability for tests
2025-07-21 11:39:38 -04:00
Wing Lian
36cbe13d18 activation offloading with cuda streams doesn't work with LoRA (#2927) 2025-07-16 11:59:20 -04:00
Dan Saunders
10ba1622f7 checkpoint model on first step callback (#2906)
* checkpoint model on first step callback

* remove debug

* add test cases; update existing tests not to save on first step

* move test out of solo

* delete

* default to False

* typo
2025-07-15 15:00:48 -04:00
NanoCode012
354eaaf0d3 feat: add call method to mistral tokenizer wrapper (#2898) 2025-07-14 22:33:35 -04:00
greenhestu
a061446540 Fix: Prevents merging of tool arguments during preprocessing (#2909) 2025-07-14 22:33:10 -04:00
Wing Lian
cd079b5536 Tensor parallel w DeepSpeed AutoTP (#2574)
* support for deepspeed autotup

* bump to latest deepspeed that supports deepcompile too

* add deepcompile support too

* fix total steps calculation for TP

* setup fixture for tp

* update ds config to ensure weights are gathered for checkpoint

* fix duplicate validation names

* chore: lint
2025-07-14 21:33:48 -04:00
Wing Lian
38359a8997 allow profiling in mid-training rather from the start (#2899) [skip ci]
* allow profiling in mid-training rather from the start

* simplify based on PR feedback

* fix logic, improve saving at end, add tests
2025-07-14 20:11:11 -04:00
Wing Lian
aa684122f1 upgrade peft==0.16.0 and datasets==4.0.0 (#2917) [skip ci]
* upgrade peft to 0.16.0

* upgrade datasets to 4.0.0

* refactor dupes from merge/rebase

* fix check for fsdp1 + sharded_state_dict

* use full state dict for ci
2025-07-14 20:09:26 -04:00
Wing Lian
ca4d4ef793 don't init distributed for deepspeed if preprocessing (#2920)
* don't init distributed for deepspeed if preprocessing

* add e2e test to validate preprocess cli with deepspeed

* ignore duplicate code for cfg
2025-07-14 14:19:19 -04:00
Wing Lian
e581c15d40 refactor dupes from merge/rebase (#2919) [skip ci] 2025-07-14 10:05:26 -04:00
Wing Lian
af92151a7b FSDP2 fix validation and add tests (#2910)
* fix validation and add tests

* remove debugging and add more tests

* remove migrate_fsdp
2025-07-14 09:25:44 -04:00
Wing Lian
5081db7f8a upgrade trl==0.19.1 (#2892) [skip ci]
* upgrade trl==0.19.1

* add vllm for tests for grpo

* fixes to work with latest trl

* need data_parallel_size config too

* support for vllm_mode for server / colocate

* vllm settings for colocate

* relax vllm version

* bump min hf hub for latest vllm support

* add hints on string literal for vllm mode

* use latest transformers 4.53.2

* tweak acceptable loss on flaky test_ds_zero3_packed test

* don't run flaky vllm/grpo tests for now
2025-07-14 09:23:42 -04:00
Wing Lian
41664c7c4c fix ddp for incorrect steps (#2915)
* fix ddp for incorrect steps

* add test
2025-07-14 07:51:16 -04:00