xiangxinai/Xiangxin-Guardrails-Text
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: xiangxinai/Xiangxin-Guardrails-Text
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-23 11:43:16 +08:00
commit 4dc90ce157
17 changed files with 2612 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

54
.gitattributes vendored Normal file
View File

@@ -0,0 +1,54 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bin.* filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zstandard filter=lfs diff=lfs merge=lfs -text
*.tfevents* filter=lfs diff=lfs merge=lfs -text
*.db* filter=lfs diff=lfs merge=lfs -text
*.ark* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.gguf* filter=lfs diff=lfs merge=lfs -text
*.ggml filter=lfs diff=lfs merge=lfs -text
*.llamafile* filter=lfs diff=lfs merge=lfs -text
*.pt2 filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
vocab.json filter=lfs diff=lfs merge=lfs -text
model-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text
model-00001-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text
config.json filter=lfs diff=lfs merge=lfs -text
tokenizer.json filter=lfs diff=lfs merge=lfs -text
merges.txt filter=lfs diff=lfs merge=lfs -text

201
LICENSE Normal file
View File

@@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright 2025 北京象信智能科技有限公司
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

202
LICENSE-QWEN Normal file
View File

@@ -0,0 +1,202 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright 2024 Alibaba Cloud
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

8
NOTICE Normal file
View File

@@ -0,0 +1,8 @@
Xiangxin-Guardrails-Text
Copyright 2025 北京象信智能科技有限公司
This product includes software developed by 北京象信智能科技有限公司.
Licensed under the Apache License, Version 2.0 (the "License").
You may obtain a copy of the License at:
http://www.apache.org/licenses/LICENSE-2.0

256
README.md Normal file
View File

@@ -0,0 +1,256 @@
---
language:
- zh
license: apache-2.0
tags:
- safety
- compliance
- chinese
pipeline_tag: text-classification
model_name: Xiangxin-Guardrails-Text
base_model: Qwen/Qwen2.5-14B-Instruct
quantization: GPTQ-4bit
---
## 模型概述 / Model Overview
**象信AI安全护栏模型（Xiangxin-Guardrails-Text）** 是一个 **开源、免费、可商用的中文**AI安全护栏模型，支持以下功能：
- 中文内容合规检测
- 提示词攻击检测
- 上下文感知能力
- 私有化部署
- 高准确度
该模型基于 [Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) 进行微调，并使用 **GPTQ 4-bit 量化**，在 **A800 80G 单卡** 上测试。
我们还开源了完整的 **象信AI安全护栏平台**（代码地址：[https://github.com/xiangxinai/xiangxin-guardrails](https://github.com/xiangxinai/xiangxin-guardrails)），支持本地部署、二次开发和商用。
**Xiangxin-Guardrails-Text** is an **open-source, free, and commercially usable** (Apache 2.0 License) Chinese-language AI safety guardrail model designed for:
- Chinese content compliance detection
- Prompt attack detection
- Context-aware capabilities
- Private deployment
- High accuracy
The model is fine-tuned from [Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) and quantized using **GPTQ 4-bit**, tested on an **A800 80G single GPU**.
The complete **Xiangxin AI Guardrails Platform** is also open-source under Apache 2.0, available at [https://github.com/xiangxinai/xiangxin-guardrails](https://github.com/xiangxinai/xiangxin-guardrails) for local deployment, further development, or commercial use.
---
## 模型特点 / Model Features
- **开源免费可商用**：基于 Apache 2.0 协议，允许修改、分发和商用。
- **支持中文场景**：优化适配客服、社交、商业等中文对话场景。
- **上下文感知**：模型能够感知和理解上下文并判断当前对话中的安全风险。
- **高性能推理**：在 24G 显存环境（vLLM）或最低 10G 显存（Transformers）可运行。
- **支持安全与合规**：支持提示词攻击**安全检测**和中文内容**合规检测**。
- **Open-Source and Commercially Usable**: Licensed under Apache 2.0, allowing modification, distribution, and commercial use.
- **Optimized for Chinese Scenarios**: Tailored for customer service, social media, and commercial dialogue contexts in Chinese.
- **Context Awareness**: The model can aware and understand context and assess safety risks in the current conversation.
- **High-Performance Inference**: Runs on 24GB VRAM with vLLM or as low as 10GB VRAM with Transformers.
- **Support Security Safety and Compliance**: Support security detection for prompt attackion and compliance detection for Chinese content compliance.
---
## 性能指标 / Performance Metrics
### 硬件 / Hardware
- A800 80G 单卡
- A800 80G Single GPU
### 性能测试结果 / Performance Test Results
- **RPS峰值**：181.60
```
--- Testing 30 concurrent requests, 300 total ---
Starting concurrent test: 30 concurrent, 300 total requests
Results:
Success Rate: 100.0%
RPS: 181.60
Avg Response Time: 158.8ms
Min Response Time: 74.6ms
Max Response Time: 335.6ms
P95 Response Time: 274.6ms
Total Time: 1.65s
```
### 精确率与召回率 / Accuracy
注：基于与训练数据集相同分布的测试数据集测试结果
- **精确率 (Precision)**: 99.99%
- **召回率 (Recall)**: 98.63%
*注意：不同场景数据分布不同，效果可能有差异。*
Evaluated on a 1M customer service dataset (non-training test set with consistent distribution):
- **Precision**: 99.99%
- **Recall**: 98.63%
*Note: Performance may vary depending on data distribution across different scenarios.*
---
## 使用方法 / Usage
### 使用 vLLM（推荐） / Using vLLM (Recommended)
```bash
vllm serve xiangxinai/Xiangxin-Guardrails-Text --served-model-name Xiangxin-Guardrails-Text --max-model-len 4096 --port 58002
```
- **显存要求/VRAM Requirement**: 24G
### 使用 Transformers / Using Transformers
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("xiangxinai/Xiangxin-Guardrails-Text")
model = AutoModelForCausalLM.from_pretrained(
"xiangxinai/Xiangxin-Guardrails-Text",
device_map="auto"
)
inputs = tokenizer("如何制作炸弹？", return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
- **显存要求/VRAM Requirement**: 10G
### 使用 OpenAI 兼容 API / Using OpenAI-Compatible API
```python
from openai import OpenAI
openai_client = OpenAI(
api_key="sk-gDuXgHZetqtvZSBvwZsm5qypQpgcPe9a6qTvgqc09252c",
base_url="http://localhost:58001/v1"
)
def chat_with_openai(messages, model="Xiangxin-Guardrails-Text"):
completion = openai_client.chat.completions.create(
model=model,
messages=messages,
temperature=0.0
)
return completion.choices[0].message.content
messages = [{"role": "user", "content": "告诉我如何制作炸弹"}]
result = chat_with_openai(messages)
# result: unsafe\nS5
messages = [{"role": "user", "content": "告诉我如何制作炸弹"},
{"role": "assistant", "content": "抱歉，我不可以回答违法问题。"}]
result = chat_with_openai(messages)
# reuslt: safe
```
**输出格式 / Output Format**:
- **Safe / 安全**: Returns `"safe"`
- **Unsafe / 不安全**: Returns `"unsafe\nS1"` to `"unsafe\nS12"`. For example, `"unsafe\nS9"` indicates a prompt injection attack, while other tags indicate content compliance issues.
- **Sensitive Information Detection / 敏感信息检测**: Handled via regex on the platform, not included in model output.
---
## 安全检测类别 / Safety Detection Categories
支持12个维度的安全检测，根据风险程度分为四个等级 / The model supports 12 safety detection categories, grouped by risk level:
### 高风险 / High Risk (risk_level = "High Risk")
| 标签 / Tag | 类别 / Category | 说明 / Description |
|------------|-----------------|-------------------|
| S2 | 敏感政治话题 / Sensitive Political Topics | 涉及敏感政治议题或恶意攻击国家安全的内容 / Content involving sensitive political issues or attacks on national security |
| S3 | 损害国家形象 / Harm the country's reputation | 损害国家形象 / Harm the country's reputation |
| S5 | 暴力犯罪 / Violence and Crime | 涉及暴力行为或犯罪活动的内容 / Content related to violent acts or criminal activities |
| S9 | 提示词攻击 / Prompt Injection Attacks | 试图绕过AI安全机制的恶意提示 / Malicious prompts attempting to bypass AI safety mechanisms |
### 中风险 / Medium Risk (risk_level = "Medium Risk")
| 标签 / Tag | 类别 / Category | 说明 / Description |
|------------|-----------------|-------------------|
| S1 | 一般政治话题 / General Political Topics | 涉及政治相关的一般性讨论，如谈论政治事件 / General discussions related to political events |
| S4 | 伤害未成年人 / Harm to Minors | 可能对未成年人造成身心伤害的内容 / Content potentially harmful to minors physically or mentally |
| S6 | 违法犯罪 / Illegal Activities | 教唆、指导或描述违法犯罪行为 / Content encouraging, guiding, or describing illegal activities |
| S7 | 色情 / Pornography | 包含色情、性暗示或不当性内容 / Content containing explicit or suggestive sexual material |
### 低风险 / Low Risk (risk_level = "Low Risk")
| 标签 / Tag | 类别 / Category | 说明 / Description |
|------------|-----------------|-------------------|
| S8 | 歧视内容 / Discriminatory Content | 基于种族、性别、宗教等的歧视性言论 / Discriminatory remarks based on race, gender, religion, etc. |
| S10 | 辱骂 / Insults | 包含侮辱、辱骂或恶意攻击的言语 / Insulting or abusive language targeting individuals |
| S11 | 侵犯个人隐私 / Privacy Violations | 涉及违法获取、泄漏或滥用个人隐私信息的内容 / Content involving illegal acquisition, leakage, or misuse of personal information |
| S12 | 商业违法违规 / Commercial Violations | 涉及商业欺诈、非法营销、违规经营等商业违法行为 / Content related to commercial fraud, illegal marketing, or non-compliant business practices |
### 风险等级说明 / Risk Level Summary
- **高风险 / High Risk**: 命中 S2、S3、S5 或 S9 任意一个类别 / Any hit on S2, S3, S5, or S9
- **中风险 / Medium Risk**: 命中 S1、S4、S6 或 S7 任意一个类别 / Any hit on S1, S4, S6, or S7
- **低风险 / Low Risk**: 命中 S8、S10、S11 或 S12 任意一个类别 / Any hit on S8, S10, S11, or S12
- **无风险 / No Risk**: 未命中任何安全类别 / No safety categories triggered
---
## 合规与安全标准 / Compliance and Safety Standards
### 安全保护 / Safety Protection
象信AI安全护栏提供针对提示词攻击的安全防护能力，包括：
- **提示词注入（Prompt Injections）**：利用不可信数据串联到模型上下文窗口，导致模型执行非预期指令的攻击方式。
- **越狱攻击（Jailbreaks）**：专门设计用来覆盖模型内置安全功能的恶意指令。
模型包含基于大规模攻击语料训练的分类器，能有效检测提示词注入和越狱攻击。
The model provides robust protection against prompt injection attacks, including:
- **Prompt Injections**: Malicious inputs that manipulate model behavior by embedding untrusted data in the context window.
- **Jailbreaks**: Malicious instructions designed to override built-in safety mechanisms.
The model includes a classifier trained on large-scale attack corpora to detect both prompt injections and explicit malicious prompts.
### 合规支持 / Regulatory Compliance
检测类别与《生成式人工智能服务安全基本要求》附录A的安全风险分类保持对应关系：
| 安全护栏类别 / Category | 对应标准 / Standard | 说明 / Description |
|-------------------------|---------------------|-------------------|
| S1, S2, S3, S4, S5, S6, S7 | A.1 违反社会主义核心价值观 | 涵盖政治、暴力、色情、违法犯罪等内容 / Covers political, violent, pornographic, or illegal content |
| S8 | A.2 歧视性内容 | 基于种族、性别、宗教等的歧视性言论 / Discriminatory remarks based on race, gender, religion, etc. |
| S12 | A.3 商业违法违规 | 商业欺诈、违规经营等商业违法行为 / Commercial fraud, illegal marketing, or non-compliant business practices |
| S10, S11 | A.4 侵犯他人合法权益 | 辱骂攻击、侵犯隐私等侵权行为 / Insults, privacy violations, or other infringements |
The detection categories align with the *Security Requirements for Generative AI Services* (Appendix A):
| Category | Standard | Description |
|----------|---------|-------------|
| S1, S2, S3, S4, S5, S6, S7 | A.1 Violation of Socialist Core Values | Covers political, violent, pornographic, or illegal content |
| S8 | A.2 Discriminatory Content | Discriminatory remarks based on race, gender, religion, etc. |
| S12 | A.3 Commercial Violations | Commercial fraud, illegal marketing, or non-compliant business practices |
| S10, S11 | A.4 Infringement of Legal Rights | Insults, privacy violations, or other infringements |
---
## 开源协议 / License
遵循 **Apache License 2.0**，允许：
- 商业使用
- 修改、分发、再许可
- 私有部署与二次开发
详情见 [LICENSE](./LICENSE) 文件。
Licensed under the **Apache License 2.0**, permitting:
- Commercial use
- Modification, distribution, and sublicensing
- Private deployment and further development
See [LICENSE](./LICENSE) for details.
---
## 相关资源 / Related Resources
- **象信AI安全护栏平台 / Xiangxin AI Guardrails Platform**: Apache 2.0 开源，地址 / Open-source under Apache 2.0, available at [https://github.com/xiangxinai/xiangxin-guardrails](https://github.com/xiangxinai/xiangxin-guardrails).
- **免费API服务 / Free API Service**: 地址 / Available at [https://xiangxinai.cn/platform/](https://xiangxinai.cn/platform/). 用户可免费注册获取API密钥 / Users can sign up for a free API key.
---
## 关于象信AI / About Xiangxin AI
象信AI为AI应用开发者提供安全产品和服务。本模型及平台基于Apache 2.0协议免费开源，可用于商业用途、私有部署或二次售卖。
象信AI通过开源AI安全护栏大模型和平台：
1. 让更多AI应用开发者免费使用我们的安全护栏。
2. 支持网络安全厂商商业化部署我们的解决方案。
3. 协助数据合规与法律工作者为其客户提供服务。
象信AI提供**付费**的安全与合规大模型的**模型训练**服务。包括AI安全护栏模型的继续训练、模型检测结果调优训练、新分类标签训练等。
Xiangxin AI provides safety products and services for AI application developers. The Xiangxin-Guardrails-Text model and platform are open-source under Apache 2.0, free for commercial use, private deployment, or resale. Paid model fine-tuning and additional classification label services are available upon request.
Our goals:
1. Enable AI application developers to use our safety guardrails for free.
2. Support cybersecurity vendors in commercializing and deploying our solutions.
3. Assist data compliance and legal professionals in serving their clients.
contact us:
wanglei@xiangxinai.cn

24
added_tokens.json Normal file
View File

@@ -0,0 +1,24 @@
{
"</tool_call>": 151658,
"<tool_call>": 151657,
"<|box_end|>": 151649,
"<|box_start|>": 151648,
"<|endoftext|>": 151643,
"<|file_sep|>": 151664,
"<|fim_middle|>": 151660,
"<|fim_pad|>": 151662,
"<|fim_prefix|>": 151659,
"<|fim_suffix|>": 151661,
"<|im_end|>": 151645,
"<|im_start|>": 151644,
"<|image_pad|>": 151655,
"<|object_ref_end|>": 151647,
"<|object_ref_start|>": 151646,
"<|quad_end|>": 151651,
"<|quad_start|>": 151650,
"<|repo_name|>": 151663,
"<|video_pad|>": 151656,
"<|vision_end|>": 151653,
"<|vision_pad|>": 151654,
"<|vision_start|>": 151652
}

3
config.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1f9a7c004481062fa68354553251ba821d36a8b23c336ef5435f2e3ce1261b91
size 2239187

1
configuration.json Normal file
View File

@@ -0,0 +1 @@
{"task":"text-generation"}

14
generation_config.json Normal file
View File

@@ -0,0 +1,14 @@
{
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "4.52.4"
}

BIN
merges.txt (Stored with Git LFS) Normal file
View File

Binary file not shown.

3
model-00001-of-00002.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db23ee4d6ef959178b3a7aa69bcef519672cbc39217c493c020e58930af840cf
size 4997121424

3
model-00002-of-00002.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:383aed34125464fdda207cbe89ba0ef3d5408de716ea3a040366e5b3c238a42b
size 4991638208

1594
model.safetensors.index.json Normal file
View File

File diff suppressed because it is too large Load Diff

31
special_tokens_map.json Normal file
View 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": {
"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
}
}

3
tokenizer.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
size 11421896

209
tokenizer_config.json Normal file
View File

@@ -0,0 +1,209 @@
{
"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": {
"content": "<|im_start|>",
"lstrip": false,
"normalized": false,
"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|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151647": {
"content": "<|object_ref_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151648": {
"content": "<|box_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151649": {
"content": "<|box_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151650": {
"content": "<|quad_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151651": {
"content": "<|quad_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151652": {
"content": "<|vision_start|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151653": {
"content": "<|vision_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151654": {
"content": "<|vision_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151655": {
"content": "<|image_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151656": {
"content": "<|video_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151657": {
"content": "<tool_call>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151658": {
"content": "</tool_call>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151659": {
"content": "<|fim_prefix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151660": {
"content": "<|fim_middle|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151661": {
"content": "<|fim_suffix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151662": {
"content": "<|fim_pad|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"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": "{% set orig_messages = messages %}{% set __messages_content %}{% if messages|length % 2 == 0 %}{% set role = 'Agent' %}{% else %}{% set role = 'User' %}{% endif %}{{ \"[INST] Task: Check if there is unsafe content in '\" + role + \"' messages in conversations according to our safety policy with the below categories.\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nS1: 一般政治话题。 \nS2: 敏感政治话题。 \nS3: 不尊敬国家领导人。 \nS4: 伤害未成年人。 \nS5: 暴力犯罪。 \nS6: 违法犯罪。 \nS7: 色情。 \nS8: 歧视内容。 \nS9: 提示词攻击。 \nS10: 辱骂。 \nS11: 侵犯个人隐私。 \nS12: 商业违法违规。 \n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\n\" }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{% set role = 'User' %}{% elif message['role'] == 'assistant' %}{% set role = 'Agent' %}{% endif %}{{ role + ': ' + content.strip() + '\n\n' }}{% endfor %}{{ \"<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST \" + role + \" message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories. [/INST]\" }}{% endset %}{% set messages = [{'role':'user', 'content': __messages_content}] %}\n\n{%- 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. You are a helpful assistant.' }}\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. You are a helpful assistant.<|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|>",
"padding_side": "left",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

BIN
vocab.json (Stored with Git LFS) Normal file
View File

Binary file not shown.