初始化项目，由ModelHub XC社区提供模型

Model: eugenepentland/WizardLM-7B-Landmark
Source: Original Platform

configuration_landmark_llama.py

@@ -0,0 +1,46 @@
+# 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.
+""" LLaMA model configuration"""
+
+from transformers import LlamaConfig as HFLlamaConfig
+from transformers.utils import logging
+
+
+logger = logging.get_logger(__name__)
+
+
+class LlamaConfig(HFLlamaConfig):
+    model_type = "llama"
+
+    def __init__(
+        self,
+        mem_id=32001,
+        mem_freq=50,
+        mem_top_k=5,
+        mem_max_seq_len=255,
+        mem_max_cache_size=None,
+        **kwargs,
+    ):
+        self.mem_id = mem_id
+        self.mem_freq = mem_freq
+        self.mem_top_k = mem_top_k
+        self.mem_max_seq_len = mem_max_seq_len
+        self.mem_max_cache_size = mem_max_cache_size
+        super().__init__(**kwargs)