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.gitattributes

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README.md

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 ---
-license: Apache License 2.0
-
-#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
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- aaditya/OpenBioLLM-Llama3-8B
+- johnsnowlabs/JSL-Med-Sft-Llama-3-8B
 ---
-### 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。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
-```bash
-#安装ModelScope
-pip install modelscope
-```
-```python
-#SDK模型下载
-from modelscope import snapshot_download
-model_dir = snapshot_download('arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP.git
-```
+# arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP
 
-<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>
+arcee-ai/Llama-3-OpenBioLLM-JSL-8B-SLERP is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [aaditya/OpenBioLLM-Llama3-8B](https://huggingface.co/aaditya/OpenBioLLM-Llama3-8B)
+* [johnsnowlabs/JSL-Med-Sft-Llama-3-8B](https://huggingface.co/johnsnowlabs/JSL-Med-Sft-Llama-3-8B)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: aaditya/OpenBioLLM-Llama3-8B
+        layer_range: [0, 32]
+      - model: johnsnowlabs/JSL-Med-Sft-Llama-3-8B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: aaditya/OpenBioLLM-Llama3-8B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "aaditya/OpenBioLLM-Llama3-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": false,
+  "vocab_size": 128256
+}

configuration.json

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

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: aaditya/OpenBioLLM-Llama3-8B
+        layer_range: [0, 32]
+      - model: johnsnowlabs/JSL-Med-Sft-Llama-3-8B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: aaditya/OpenBioLLM-Llama3-8B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}