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Model: shanchen/llama3-8B-slerp-biomed-chat-chinese
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- shanchen/llama3-8B-slerp-med-chinese
+- shenzhi-wang/Llama3-8B-Chinese-Chat
+base_model:
+- shanchen/llama3-8B-slerp-med-chinese
+- shenzhi-wang/Llama3-8B-Chinese-Chat
+license: llama3
+language:
+- zh
+- en
+---
+
+# llama3-8B-slerp-biomed-chat-chinese
+
+llama3-8B-slerp-biomed-chat-chinese is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [shanchen/llama3-8B-slerp-med-chinese](https://huggingface.co/shanchen/llama3-8B-slerp-med-chinese)
+* [shenzhi-wang/Llama3-8B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: shanchen/llama3-8B-slerp-med-chinese
+        layer_range: [0,32]
+      - model: shenzhi-wang/Llama3-8B-Chinese-Chat
+        layer_range: [0,32]
+merge_method: slerp
+base_model: shenzhi-wang/Llama3-8B-Chinese-Chat
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.3, 0.5, 0.5, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.7, 0.5, 0.5, 0.3]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "shanchen/llama3-8B-slerp-biomed-chat-chinese"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, torch_dtype="auto", device_map="auto"
+)
+
+messages = [
+    {"role": "user", "content": "Can you speak Japanese?"},
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True, return_tensors="pt"
+).to(model.device)
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=192 max#8192,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))
+
+```

config.json

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+{
+  "_name_or_path": "shenzhi-wang/Llama3-8B-Chinese-Chat",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "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": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: shanchen/llama3-8B-slerp-med-chinese
+        layer_range: [0,32]
+      - model: shenzhi-wang/Llama3-8B-Chinese-Chat
+        layer_range: [0,32]
+merge_method: slerp
+base_model: shenzhi-wang/Llama3-8B-Chinese-Chat
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.3, 0.5, 0.5, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.7, 0.5, 0.5, 0.3]
+    - 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": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}