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Model: njauzwh/HssaLLM-8B-Base Source: Original Platform
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# ollama modelfile auto-generated by llamafactory
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FROM .
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TEMPLATE """{{ if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|im_start|>user
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{{ .Content }}<|im_end|>
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<|im_start|>assistant
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{{ else if eq .Role "assistant" }}{{ .Content }}<|im_end|>
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{{ end }}{{ end }}"""
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SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant."""
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PARAMETER stop "<|im_end|>"
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PARAMETER num_ctx 4096
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119
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---
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frameworks:
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- Pytorch
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license: Apache License 2.0
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tags: []
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tasks:
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- text-generation
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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# 兰章大语言模型
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<div align="center">
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<img src="./images/logo_new.png" alt="兰章大语言模型 Logo" width="450" />
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</div>
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# (Large Language Model for Humanities and Social Sciences Academia)
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[ModelScope](https://www.modelscope.cn/models/njauzwh/HssaLLM-8B) | [License](https://www.google.com/search?q=https://github.com/Opencv/opencv/blob/master/LICENSE)
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**兰章大语言模型** 是首个开源的人文社会科学学术大语言模型，也是基于目前规模最大、学科覆盖最完整和时间跨度最长的人文社会科学学术语料所训练的开源模型。针对通用大模型在人文社科垂直领域缺乏深度语义理解、理论支撑不足以及长文本逻辑推演能力受限等问题，团队以 **Qwen3** 系列（8B/32B）为基座，构建了包含 **116亿 token** 的高质量双语学术语料数据集。通过**继续预训练**与**多任务指令微调**，兰章大语言模型深度内化了人文社会科学的学科知识体系与学术表达范式，旨在赋能新文科的“数智化”发展，为跨学科研究提供智能化的方法论指引与数据支持。
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## 模型下载
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兰章系列模型已在 ModelScope 社区开源，包含基座模型（Base）和指令微调模型（Instruct）。
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| 模型名称 | 参数量 | 模型类型 | 下载地址 |
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| --- | --- | --- | --- |
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| **HssaLLM-8B-Base** | 8B | 基座模型 | [ModelScope Link](https://www.modelscope.cn/models/njauzwh/HssaLLM-8B-Base) |
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| **HssaLLM-8B** | 8B | 指令模型 | [ModelScope Link](https://www.modelscope.cn/models/njauzwh/HssaLLM-8B) |
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| **HssaLLM-32B-Base** | 32B | 基座模型 | [ModelScope Link](https://www.modelscope.cn/models/njauzwh/HssaLLM-32B-Base) |
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| **HssaLLM-32B** | 32B | 指令模型 | [ModelScope Link](https://www.modelscope.cn/models/njauzwh/HssaLLM-32B) |
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## 评价基准
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为选取性能优越的基线模型并验证兰章大语言模型的有效性，本研究制定了面向人文社会科学学术领域的专用评价体系。针对学术研究场景，构建了如下评测任务：
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| 任务 | 说明 | 测试数据量 |
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| --- | --- | --- |
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||||
| 学术论文章节标题生成 | 基于学术全文本内容，生成论文章节标题 | 1000（中）+1000（英） |
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| 学术论文结语生成 | 基于学术全文本内容，生成论文结论 | 1000（中）+1000（英） |
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| 学术论文文献综述生成 | 基于学术全文本内容，生成论文文献综述 | 1000（中）+1000（英） |
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| 学术文献实体识别 | 根据学术全文本内容进行实体标注 | 1000（中）+1000（英） |
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| 图书自动分类 | 基于图书全文本数据判定学科类别 | 1000 |
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## 数据收集与模型训练
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### 数据来源与规模
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本研究构建了人文社会科学学术数据集，总规模约 **116亿 token**，时间跨度覆盖 **1992-2025年**。
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* **中文学术数据**：来源于中文社会科学引文索引（CSSCI）、CNKI人文社科期刊、人大复印报刊资料等，包含题录及学术全文本。
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* **英文学术数据**：来源于 Web of Science (SSCI, A&HCI)、Project MUSE 和 Project Gutenberg，涵盖期刊摘要、论文全文本及经典学术专著。
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### 训练策略
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为解决通用模型在特定领域的“灾难性遗忘”并提升指令跟随能力，研究采用了两阶段训练策略：
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1. **继续预训练 (Continued Pre-training)**：利用构建的 116B token 领域语料，对 **Qwen3-8B** 和 **Qwen3-32B** 进行全参数训练，注入人文社科特有的理论体系、专业术语及长文本逻辑结构。
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2. **指令微调 (Instruction Tuning)**：构建高质量的多任务指令微调数据集（[hss_sft.json](https://www.modelscope.cn/datasets/njauzwh/HssaLLM-SFT-data)），涵盖学术论文章节标题生成、学术论文结语生成、学术论文文献综述生成、学术文献实体识别、图书自动分类、学科分类、语步识别、术语抽取与分类、中英文献互译等任务。
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## 快速使用
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```python
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from modelscope import AutoModelForCausalLM, AutoTokenizer
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model_name = "njauzwh/HssaLLM-8B"
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# 加载模型与分词器
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True)
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# 构造提示词
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prompt = "简述大语言模型在数字人文中的应用前景。"
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messages = [{"role": "user", "content": prompt}]
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# 推理生成
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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generated_ids = model.generate(model_inputs.input_ids, max_new_tokens=512)
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generated_ids = [
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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]
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(response)
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```
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## 研究团队
|
||||
兰章大语言模型由南京理工大学沈思教授团队研发，如果大家有什么问题请通过如下的邮箱进行交流： jisuanyuyan@163.com，谢谢大家。
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## 声明
|
||||
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||||
1. **数据合规性**：从纯粹学术研究的目的，兰章大语言模型基于大规模人文社会科学学术数据训练，我们已采取技术手段对数据进行清洗与脱敏。
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2. **幻觉问题**：受大语言模型架构限制，模型生成的学术内容（如引文、数据等）可能存在“幻觉”现象。在用于严谨学术研究时，**务必对生成内容进行人工核实**。
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3. **免责条款**：本模型仅供学术研究与交流使用。任何机构或个人因使用本模型及其衍生内容而引发的直接或间接损失，研发团队不承担法律责任。使用本模型需严格遵守《生成式人工智能服务管理暂行办法》及相关法律法规。
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28
added_tokens.json
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{
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"</think>": 151668,
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"</tool_call>": 151658,
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"</tool_response>": 151666,
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"<think>": 151667,
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"<tool_call>": 151657,
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"<tool_response>": 151665,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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||||
{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
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||||
{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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30
config.json
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30
config.json
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{
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"architectures": [
|
||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -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": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
||||
size 11422654
|
||||
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"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
|
||||
},
|
||||
"151644": {
|
||||
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|
||||
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|
||||
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|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"151666": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"pad_token": "<|endoftext|>",
|
||||
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|
||||
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|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user