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https://github.com/hiyouga/LLaMA-Factory.git
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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# Copyright 2025 the LlamaFactory team.
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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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r"""Efficient fine-tuning of large language models.
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Level:
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api, webui > chat, eval, train > data, model > hparams > extras
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Dependency graph:
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main:
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transformers>=4.41.2,<=4.49.0,!=4.46.*,!=4.47.*,!=4.48.0
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datasets>=2.16.0,<=3.3.2
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accelerate>=0.34.0,<=1.4.0
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peft>=0.11.1,<=0.12.0
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trl>=0.8.6,<=0.9.6
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attention:
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transformers>=4.42.4 (gemma+fa2)
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longlora:
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transformers>=4.41.2,<4.48.0
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packing:
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transformers>=4.43.0
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Disable version checking: DISABLE_VERSION_CHECK=1
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Enable VRAM recording: RECORD_VRAM=1
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Force check imports: FORCE_CHECK_IMPORTS=1
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Force using torchrun: FORCE_TORCHRUN=1
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Set logging verbosity: LLAMAFACTORY_VERBOSITY=WARN
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Use modelscope: USE_MODELSCOPE_HUB=1
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Use openmind: USE_OPENMIND_HUB=1
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"""
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from .extras.env import VERSION
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__version__ = VERSION
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