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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,129 @@
----
-license: apache-2.0
----
+---
+base_model: Qwen/Qwen2.5-3B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-3B-Instruct
+- lora
+- privacy
+- pii
+- text-generation
+license: apache-2.0
+---
+
+# Privacy Guard — 本地隐私守护代理
+
+基于 LoRA 微调 Qwen2.5-3B-Instruct 的任务感知 PII 脱敏模型。
+
+## 模型概述
+
+Privacy Guard 是一个本地隐私保护模型，能够将用户输入中的真实个人信息（姓名、手机号、邮箱、地址等）虚构化替换为假数据，同时提取任务意图生成摘要。
+
+**核心价值**：让云端大模型既能完成任务，又看不到你的真实隐私。
+
+## 使用方法
+
+### 安装依赖
+
+```bash
+pip install torch transformers peft
+```
+
+### 加载模型
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+import torch
+
+# 加载基座模型
+base_model = "Qwen/Qwen2.5-3B-Instruct"
+tokenizer = AutoTokenizer.from_pretrained(base_model, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(base_model, dtype=torch.float16, trust_remote_code=True)
+
+# 加载 LoRA adapter
+model = PeftModel.from_pretrained(model, "DoreCmon/privacyguard")
+model = model.eval()
+```
+
+### 推理
+
+```python
+SYSTEM_INSTRUCTION = (
+    "你是一个隐私保护助手。请完成以下两步：\n"
+    "1. 用1句话（不超过30字）精准概括用户的任务意图，不要包含任何个人信息。\n"
+    "2. 围绕用户任务对文本中的个人身份信息进行虚构化改写，"
+    "保留对任务有用的信息，弱化无关细节，确保改写后自洽且不可反推。\n\n"
+    "输出格式：\n【任务摘要】摘要内容\n【脱敏文本】改写后的完整文本"
+)
+
+text = "帮我写一封推荐信\n\n张伟，2017年浙大毕业，现任字节跳动高级工程师，手机13812345678"
+prompt = f"### 指令:\n{SYSTEM_INSTRUCTION}\n\n### 输入:\n{text}\n\n### 输出:\n"
+
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+with torch.no_grad():
+    output_ids = model.generate(**inputs, max_new_tokens=1024, do_sample=False)
+
+result = tokenizer.decode(output_ids[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True)
+print(result)
+```
+
+### 输出示例
+
+```
+【任务摘要】用户需要为候选人撰写求职推荐信
+
+【脱敏文本】李晨，2015年华中科技大学毕业，现任星云科技高级工程师，手机15987654321...
+```
+
+## 支持的 PII 类型
+
+| 类型 | 原文示例 | 脱敏示例 |
+|------|----------|----------|
+| 姓名 | 张伟 | 李明 |
+| 手机号 | 13800138000 | 13912345678 |
+| 邮箱 | zhangsan@gmail.com | liming@example.com |
+| 身份证号 | 110101199001011234 | 110101199205056789 |
+| 地址 | 北京市朝阳区建国路88号 | 上海市浦东新区张江路66号 |
+| 公司名 | 华为技术有限公司 | 星云科技有限公司 |
+| 毕业院校 | 浙江大学 | 华中科技大学 |
+| 订单号 | OR2024-8869 | OR2025-1234 |
+
+## 训练数据
+
+- 6 个场景：简历、工作邮件、客服对话、医疗病历、会议纪要
+- 每场景 7 种任务指令
+- 共约 2000 条训练数据
+- 由 DeepSeek API 生成，经过格式校验和去重
+
+## 训练配置
+
+- 基座模型：Qwen/Qwen2.5-3B-Instruct
+- LoRA：r=16, alpha=32, dropout=0.05
+- 学习率：5e-5
+- 训练轮数：3 epochs
+- 精度：float16 + Gradient Checkpointing
+
+## 评估结果
+
+| 指标 | 值 | 说明 |
+|------|-----|------|
+| Task Completion | 4.69/5.00 | 云端大模型打分，86.7% 样本满分 |
+| Logical Consistency | 98.8% | PII 泄漏检查通过率 |
+| Avg Latency | 19.9s | 单条推理耗时（单卡） |
+
+## 适用场景
+
+- 用户需要把含隐私的文本发给云端大模型处理
+- 需要保留任务上下文（不只是简单替换标签）
+- 对隐私保护有较高要求
+
+## 局限性
+
+- 地址替换模式可能过于规则（城西→城东）
+- 不支持所有语言（主要针对中文）
+- 推理速度较慢（约 20 秒/条）
+
+## 许可证
+
+Apache 2.0

adapter_config.json

@@ -0,0 +1,42 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "down_proj",
+    "o_proj",
+    "q_proj",
+    "up_proj",
+    "k_proj",
+    "v_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8befcc55a8e593a0fd2599623f20beef6a081152419e40b28e378d809bf7409e
+size 119801528

added_tokens.json

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+{
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+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
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+  "<|fim_suffix|>": 151661,
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+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
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+    "<|vision_end|>",
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+    "<|image_pad|>",
+    "<|video_pad|>"
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+  "eos_token": {
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

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+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+}