02ce520b7e
* upgrade liger to 0.3.1 * update docs and example * skip duplicate code check * Update src/axolotl/integrations/liger/args.py Co-authored-by: NanoCode012 <nano@axolotl.ai> * Update README.md Co-authored-by: NanoCode012 <nano@axolotl.ai> * add logging * chore: lint * add test case * upgrade liger and transformers * also upgrade accelerate * use kwargs to support patch release * make sure prepared path is empty for test * use transfromers 4.46.1 since 4.46.2 breaks fsdp --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# Copyright 2024 Axolotl AI. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Module for handling LIGER input arguments.
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"""
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import logging
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from typing import Optional
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from pydantic import BaseModel, model_validator
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LOG = logging.getLogger("axolotl.integrations.liger.args")
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class LigerArgs(BaseModel):
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"""
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Input args for LIGER.
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"""
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liger_rope: Optional[bool] = None
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liger_rms_norm: Optional[bool] = None
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liger_layer_norm: Optional[bool] = None
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liger_swiglu: Optional[bool] = None
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liger_glu_activation: Optional[bool] = None
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liger_cross_entropy: Optional[bool] = None
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liger_fused_linear_cross_entropy: Optional[bool] = None
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@model_validator(mode="before")
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@classmethod
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def check_deprecated_swiglu(cls, data):
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if data.get("liger_swiglu") is not None:
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if data.get("liger_glu_activation") is not None:
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raise ValueError(
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"You cannot have both `liger_swiglu` and `liger_glu_activation` set."
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)
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LOG.warning(
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"The 'liger_swiglu' argument is deprecated and will be removed in a future release. "
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"Please use 'liger_glu_activation' instead."
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)
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data["liger_glu_activation"] = data.pop("liger_swiglu")
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return data
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