Wing Lian 98333e639a upgrade trl to 0.24.0 and liger to 0.6.3 (#3230) ...

* upgrade trl to 0.24.0

* fix reward collator init

* use newer DataCollatorForPreference instead

* DataCollatorForPreference doesn't use padding kwarg

* fix input id labels

* fix fbgemm-gpu version for pytorch versions

* tweak pinned deps

* transformers doesn't support hub 1.0 yet

* upgrade liger dep to 0.6.3

* set TORCH_CUDA_ARCH_LIST correctly

2025-10-29 18:02:16 -04:00

..

__init__.py

Various fixes for CI, save_only_model for RL, prevent packing multiprocessing deadlocks (#2661)

2025-05-12 10:51:18 -04:00

cicd.sh

Various fixes for CI, save_only_model for RL, prevent packing multiprocessing deadlocks (#2661)

2025-05-12 10:51:18 -04:00

cleanup.py

Various fixes for CI, save_only_model for RL, prevent packing multiprocessing deadlocks (#2661)

2025-05-12 10:51:18 -04:00

cleanup.sh

Various fixes for CI, save_only_model for RL, prevent packing multiprocessing deadlocks (#2661)

2025-05-12 10:51:18 -04:00

Dockerfile-uv.jinja

upgrade transformers to 4.57.0 (#3201)

2025-10-08 08:43:46 -04:00

Dockerfile.jinja

upgrade trl to 0.24.0 and liger to 0.6.3 (#3230)

2025-10-29 18:02:16 -04:00

e2e_tests.py

bump transformers==4.52.4 (#2800) [skip ci]

2025-06-18 15:46:14 -04:00

multigpu.py

Add ruff, remove black, isort, flake8, pylint (#3092)

2025-08-23 23:37:33 -04:00

multigpu.sh

Distributed/ND-Parallel (#2977)

2025-07-31 15:25:02 -04:00

single_gpu.py

feat:add support dataset_num_processes (#3129) [skip ci]

2025-10-13 17:18:12 +07:00