Commit Graph

5 Commits

Author SHA1 Message Date
Wing Lian
8bbad21bfd llama4 support (#2493)
* llama4 support

* add xet support [skip ci]

* be flexible on transformers version and skip test on version

* don't use deepspeed for the fix_untrained_tokens test

* reordering to trigger torch 2.6.0 tests first

* slightly smaller train set

* use 4.51.0 for now

* remove stray print, add llama4 chat template to schema, bump peft to 0.15.1

* patches to make llama4 performant

* add preliminary fp8 support
2025-04-07 10:49:15 -04:00
Wing Lian
b6fc46ada8 Updates for trl 0.16.0 - mostly for GRPO (#2437) [skip ci]
* add grpo scale_rewards config for trl#3135

* options to connect to vllm server directly w grpo trl#3094

* temperature support trl#3029

* sampling/generation kwargs for grpo trl#2989

* make vllm_enable_prefix_caching a config param trl#2900

* grpo multi-step optimizeations trl#2899

* remove overrides for grpo trainer

* bump trl to 0.16.0

* add cli  to start vllm-serve via trl

* call the python module directly

* update to use vllm with 2.6.0 too now and call trl vllm serve from module

* vllm 0.8.1

* use python3

* use sys.executable

* remove context and wait for start

* fixes to make it actually work

* fixes so the grpo tests pass with new vllm paradigm

* explicit host/port and check in start vllm

* make sure that vllm doesn't hang by setting quiet so outouts go to dev null

* also bump bnb to latest release

* add option for wait from cli and nccl debugging for ci

* grpo + vllm test on separate devices for now

* make sure grpo + vllm tests runs single worker since pynccl comms would conflict

* fix cli

* remove wait and add caching for argilla dataset

* refactoring configs

* chore: lint

* add vllm config

* fixup vllm grpo args

* fix one more incorrect schema/config path

* fix another vlllm reference and increase timeout

* make the tests run a bit faster

* change mbsz back so it is correct for grpo

* another change mbsz back so it is correct for grpo

* fixing cli args

* nits

* adding docs

* docs

* include tensor parallel size for vllm in pydantic schema

* moving start_vllm, more docs

* limit output len for grpo vllm

* vllm enable_prefix_caching isn't a bool cli arg

* fix env ordering in tests and also use pid check when looking for vllm

---------

Co-authored-by: Salman Mohammadi <salman.mohammadi@outlook.com>
2025-03-31 15:47:11 -04:00
NanoCode012
cf0c79d52e fix: minor patches for multimodal (#2441)
* fix: update chat_template

* fix: handle gemma3 showing a lot of no content for turn 0

* fix: remove unknown config from examples

* fix: test

* fix: temporary disable gemma2 test

* fix: stop overwriting config.text_config unnecessarily

* fix: handling of set cache to the text_config section

* feat: add liger gemma support and bump liger to 0.5.5

* fix: add double use_cache setting

* fix: add support for final_logit_softcap in CCE for gemma2/3

* fix: set use_cache before model load

* feat: add missing layernorm override

* fix: handle gemma3 rmsnorm

* fix: use wrapper to pass dim as hidden_size

* fix: change dim to positional

* fix: patch with wrong mlp

* chore: refactor use_cache handling

* fix import issues

* fix tests.e2e.utils import

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-03-31 13:40:12 +07:00
Wing Lian
30046315d9 disable ray tests for latest torch release (#2328)
* disable ray tests for latest torch release

* move decorator from class to method
2025-02-12 18:29:02 -05:00
Eric Tang
268543a3be Ray Train Axolotl Integration (#2251)
* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* current

not clean working version
move torch trainer to do_cli
update code with config changes and clean up
edit config
cleanup
add run name to trainer

* address comments

* use axolotl train in multigpu tests and add ray tests for multi-gpu

* accelerate uses underscores for main_process_port arg

* chore: lint

* fix order of accelerate args

* include ray train in docker images

* fix bf16 resolution behavior

* move dtype logic

* x

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* rename

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* add to sidebar

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* Apply suggestions from code review

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* Update docs/ray-integration.qmd

Co-authored-by: Eric Tang <46737979+erictang000@users.noreply.github.com>

* pre-commit fixes

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>

* use output_dir instead of hardcoded saves path

Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>

* bugfix storage dir

* change type\ for resources_per_worker

---------

Signed-off-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
Co-authored-by: SumanthRH <sumanthrh@anyscale.com>
Co-authored-by: Sumanth R Hegde <39546518+SumanthRH@users.noreply.github.com>
Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
2025-01-29 00:10:19 -05:00