| # coding=utf-8 | |
| # Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved. | |
| # | |
| # This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX | |
| # and OPT implementations in this library. It has been modified from its | |
| # original forms to accommodate minor architectural differences compared | |
| # to GPT-NeoX and OPT used by the Meta AI team that trained the model. | |
| # | |
| # 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. | |
| """INFLM model configuration.""" | |
| from transformers.models.llama.configuration_llama import LlamaConfig | |
| class INFLMConfig(LlamaConfig): | |
| model_type = "inflm" | |
| def __init__( | |
| self, | |
| layer_norm_eps=1e-5, | |
| **kwargs, | |
| ): | |
| self.layer_norm_eps = layer_norm_eps | |
| super().__init__( | |
| **kwargs, | |
| ) | |