47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# coding=utf-8
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# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
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#
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# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
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# and OPT implementations in this library. It has been modified from its
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# original forms to accommodate minor architectural differences compared
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# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
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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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""" LLaMA model configuration"""
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from transformers import LlamaConfig as HFLlamaConfig
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from transformers.utils import logging
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logger = logging.get_logger(__name__)
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class LlamaConfig(HFLlamaConfig):
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model_type = "llama"
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def __init__(
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self,
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mem_id=32001,
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mem_freq=50,
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mem_top_k=5,
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mem_max_seq_len=255,
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mem_max_cache_size=None,
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**kwargs,
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):
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self.mem_id = mem_id
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self.mem_freq = mem_freq
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self.mem_top_k = mem_top_k
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self.mem_max_seq_len = mem_max_seq_len
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self.mem_max_cache_size = mem_max_cache_size
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super().__init__(**kwargs)
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