From 7f285a43d124daf2c95e66d516202833fce5fb40 Mon Sep 17 00:00:00 2001
From: ModelHub XC <noreply@modelhub.org.cn>
Date: Thu, 18 Jun 2026 05:20:12 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?=
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Model: FreedomIntelligence/ShizhenGPT-7B-LLM
Source: Original Platform
---
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 README.md                        |  82 ++++++++
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 config.json                      |  28 +++
 configuration.json               |   1 +
 generation_config.json           |  14 ++
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 model.safetensors.index.json     | 346 +++++++++++++++++++++++++++++++
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 tokenizer.json                   |   3 +
 tokenizer_config.json            | 208 +++++++++++++++++++
 vocab.json                       |   3 +
 16 files changed, 806 insertions(+)
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 create mode 100644 README.md
 create mode 100644 added_tokens.json
 create mode 100644 config.json
 create mode 100644 configuration.json
 create mode 100644 generation_config.json
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 create mode 100644 model.safetensors.index.json
 create mode 100644 special_tokens_map.json
 create mode 100644 tokenizer.json
 create mode 100644 tokenizer_config.json
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diff --git a/README.md b/README.md
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index 0000000..4e2a347
--- /dev/null
+++ b/README.md
@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+datasets:
+- FreedomIntelligence/TCM-Pretrain-Data-ShizhenGPT
+- FreedomIntelligence/TCM-Instruction-Tuning-ShizhenGPT
+language:
+- zh
+base_model:
+- Qwen/Qwen2.5-7B
+pipeline_tag: text-generation
+
+tags:
+- Traditional Chinese Medicin
+- Multimodal LLM
+- multimodal
+---
+
+<div align="center">
+<h1>
+  ShizhenGPT-7B-LLM
+</h1>
+</div>
+
+<div align="center">
+<a href="https://github.com/FreedomIntelligence/ShizhenGPT" target="_blank">GitHub</a> | <a href="https://arxiv.org/abs/2508.14706" target="_blank">Paper</a>
+</div>
+
+
+**ShizhenGPT** is the first multimodal LLM for Traditional Chinese Medicine (TCM).
+It not only possesses strong expertise in TCM, but also supports TCM multimodal diagnostic capabilities, which involve looking (望), listening/smelling (闻), questioning (问), and pulse-taking (切).
+
+👉 More details on GitHub: [ShizhenGPT](https://github.com/FreedomIntelligence/ShizhenGPT)
+
+
+
+
+# <span>Model Info</span>
+
+> **ShizhenGPT-7B-LLM** is an LLM-only variant derived from ShizhenGPT-7B-Omni. If your use case requires only text-based capabilities, this version is recommended. Otherwise, please choose the appropriate multimodal version below:
+> 
+|                        | Parameters | Supported Modalities          | Link                                                                  |
+| ---------------------- | ---------- | ----------------------------- | --------------------------------------------------------------------- |
+| **ShizhenGPT-7B-LLM**  | 7B         | Text                          | [HF Link](https://huggingface.co/FreedomIntelligence/ShizhenGPT-7B-LLM) |
+| **ShizhenGPT-7B-VL**   | 7B         | Text, Image Understanding     | [HF Link](https://huggingface.co/FreedomIntelligence/ShizhenGPT-7B-VL) |
+| **ShizhenGPT-7B-Omni** | 7B         | Text, Four Diagnostics (望闻问切) | [HF Link](https://huggingface.co/FreedomIntelligence/ShizhenGPT-7B-Omni) |
+| **ShizhenGPT-32B-LLM**  | 32B        | Text                          | [HF Link](https://huggingface.co/FreedomIntelligence/ShizhenGPT-32B-LLM) |
+| **ShizhenGPT-32B-VL**   | 32B        | Text, Image Understanding     | [HF Link](https://huggingface.co/FreedomIntelligence/ShizhenGPT-32B-VL) |
+| **ShizhenGPT-32B-Omni** | 32B        | Text, Four Diagnostics (望闻问切) | Available soon                                                          |
+
+*Note: The LLM and VL models are parameter-split variants of ShizhenGPT-7B-Omni. Since their architectures align with Qwen2.5 and Qwen2.5-VL, they are easier to adapt to different environments. In contrast, ShizhenGPT-7B-Omni requires `transformers==4.51.0`.*
+
+
+# <span>Usage</span>
+You can use ShizhenGPT-7B-LLM in the same way as [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct). You can deploy it with tools like [vllm](https://github.com/vllm-project/vllm) or [Sglang](https://github.com/sgl-project/sglang),  or perform direct inference:
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/ShizhenGPT-7B-LLM",torch_dtype="auto",device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/ShizhenGPT-7B-LLM")
+
+input_text = "为什么我总是手脚冰凉，是阳虚吗？"
+messages = [{"role": "user", "content": input_text}]
+
+inputs = tokenizer(tokenizer.apply_chat_template(messages, tokenize=False,add_generation_prompt=True
+), return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=2048)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+
+# <span>📖 Citation</span>
+```
+@misc{chen2025shizhengptmultimodalllmstraditional,
+      title={ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine}, 
+      author={Junying Chen and Zhenyang Cai and Zhiheng Liu and Yunjin Yang and Rongsheng Wang and Qingying Xiao and Xiangyi Feng and Zhan Su and Jing Guo and Xiang Wan and Guangjun Yu and Haizhou Li and Benyou Wang},
+      year={2025},
+      eprint={2508.14706},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2508.14706},
+}
+```
\ No newline at end of file
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+{
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+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
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+  "max_window_layers": 28,
+  "model_type": "qwen2",
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+  "use_cache": true,
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+  "vocab_size": 152064
+}
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diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..ac23c0a
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..51ebb3b
--- /dev/null
+++ b/tokenizer.json
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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..b9eab97
--- /dev/null
+++ b/tokenizer_config.json
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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "rstrip": false,
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+      "special": true
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+      "single_word": false,
+      "special": true
+    },
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+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "151651": {
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+      "special": true
+    },
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
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+      "single_word": false,
+      "special": false
+    },
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+      "single_word": false,
+      "special": false
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+    },
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+      "special": false
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. 你是一个中医多模态大模型 TCM-Omni，能支持望闻问切各种模态，且具备非常强的中医能力。' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. 你是一个中医多模态大模型 TCM-Omni，能支持望闻问切各种模态，且具备非常强的中医能力。<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
diff --git a/vocab.json b/vocab.json
new file mode 100644
index 0000000..6c49fc6
--- /dev/null
+++ b/vocab.json
@@ -0,0 +1,3 @@
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+oid sha256:ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
+size 2776833