Merge branch 'main' into llmcompressor-sft

This commit is contained in:
Rahul Tuli
2025-04-24 12:37:14 -05:00
committed by GitHub
18 changed files with 47 additions and 17 deletions

View File

@@ -8,7 +8,7 @@ from axolotl.cli.args import TrainerCliArgs
from axolotl.common.datasets import load_datasets
from axolotl.train import train
from axolotl.utils import get_pytorch_version
from axolotl.utils.config import normalize_config, prepare_plugins
from axolotl.utils.config import normalize_config, prepare_plugins, validate_config
from axolotl.utils.dict import DictDefault
from ..utils import check_model_output_exists
@@ -56,6 +56,7 @@ class TestCutCrossEntropyIntegration:
# pylint: disable=redefined-outer-name
def test_llama_w_cce(self, min_cfg, temp_dir):
cfg = DictDefault(min_cfg)
cfg = validate_config(cfg)
prepare_plugins(cfg)
normalize_config(cfg)
cli_args = TrainerCliArgs()
@@ -101,6 +102,7 @@ class TestCutCrossEntropyIntegration:
"bf16": "auto",
}
)
cfg = validate_config(cfg)
prepare_plugins(cfg)
normalize_config(cfg)
cli_args = TrainerCliArgs()
@@ -129,6 +131,7 @@ class TestCutCrossEntropyIntegration:
attention_type: True,
}
)
cfg = validate_config(cfg)
prepare_plugins(cfg)
normalize_config(cfg)
cli_args = TrainerCliArgs()

View File

@@ -5,7 +5,7 @@ Simple end-to-end test for Liger integration
from axolotl.cli.args import TrainerCliArgs
from axolotl.common.datasets import load_datasets
from axolotl.train import train
from axolotl.utils.config import normalize_config, prepare_plugins
from axolotl.utils.config import normalize_config, prepare_plugins, validate_config
from axolotl.utils.dict import DictDefault
from tests.e2e.utils import check_model_output_exists, require_torch_2_4_1
@@ -54,6 +54,7 @@ class LigerIntegrationTestCase:
}
)
# pylint: disable=duplicate-code
cfg = validate_config(cfg)
prepare_plugins(cfg)
normalize_config(cfg)
cli_args = TrainerCliArgs()
@@ -100,6 +101,7 @@ class LigerIntegrationTestCase:
}
)
# pylint: disable=duplicate-code
cfg = validate_config(cfg)
prepare_plugins(cfg)
normalize_config(cfg)
cli_args = TrainerCliArgs()