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README.md

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 ---
-license: Apache License 2.0
+base_model:
+- NousResearch/Llama-2-7b-hf
+- arcee-ai/Patent-Base-7b
+- microsoft/Orca-2-7b
+library_name: transformers
+tags:
+- mergekit
+- merge
 
-#model-type:
-##如 gpt、phi、llama、chatglm、baichuan 等
-#- gpt
-
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
-
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
-
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
+# merge
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-```bash
-#安装ModelScope
-pip install modelscope
-```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('arcee-ai/Patent-Base-Orca-2-7B-Ties')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/arcee-ai/Patent-Base-Orca-2-7B-Ties.git
-```
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [arcee-ai/Patent-Base-7b](https://huggingface.co/arcee-ai/Patent-Base-7b)
+* [microsoft/Orca-2-7b](https://huggingface.co/microsoft/Orca-2-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: NousResearch/Llama-2-7b-hf
+    #no parameters necessary for base model
+  - model: arcee-ai/Patent-Base-7b
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: microsoft/Orca-2-7b
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: NousResearch/Llama-2-7b-hf
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16
+
+```

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "NousResearch/Llama-2-7b-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

mergekit_config.yml

@@ -0,0 +1,18 @@
+models:
+  - model: NousResearch/Llama-2-7b-hf
+    #no parameters necessary for base model
+  - model: arcee-ai/Patent-Base-7b
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: microsoft/Orca-2-7b
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: NousResearch/Llama-2-7b-hf
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: float16

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special_tokens_map.json

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
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+  "legacy": false,
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+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}