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conda-recipe.yaml
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conda-recipe.yaml
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# Copyright Authors of Aligner. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# This file is modified from:
# https://github.com/PKU-Alignment/safe-rlhf/conda-recipe.yaml
# ==============================================================================
# Copyright 2023-2024 PKU-Alignment Team. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Create virtual environment with command:
#
# $ CONDA_OVERRIDE_CUDA=11.8 conda env create --file conda-recipe.yaml
#
name: aligner
channels:
- huggingface
- pytorch
- nvidia/label/cuda-11.8.0
- defaults
- conda-forge
dependencies:
- python = 3.10
- pip
- pytorch::pytorch >= 2.0
- pytorch::pytorch-mutex =*=*cuda*
- transformers >= 4.37
- datasets
- tokenizers >= 0.13.3
- sentencepiece
- tensorboard
- wandb
- pip:
- accelerate
- deepspeed
- nvidia/label/cuda-11.8.0::cuda-toolkit = 11.8
- optree
- scipy
- nvitop
- matplotlib-base
- rich
- tqdm
- typing-extensions