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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

LICENSE

@@ -0,0 +1,203 @@
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README.md

@@ -0,0 +1,165 @@
+---
+language:
+- en
+- zh
+license: apache-2.0
+tags:
+- safety
+- security
+- compliance
+- prompt_attack
+- prompt_injection
+- prompt_jailbreak
+pipeline_tag: text-generation
+model_name: OpenGuardrails-Text
+base_model: Qwen/Qwen3-14B
+quantization: GPTQ-4bit
+---
+
+# OpenGuardrails-Text-2510
+
+<p align="center">
+    <img src="https://www.openguardrails.com/logo_dark.png" width="400"/>
+<p>
+
+**OpenGuardrails** is **developer-first open-source AI security platform** that combines configurable policy control, unified LLM-based architecture, and low-latency deployment.  
+This repository provides the **OpenGuardrails-Text-2510** model — a 3.3B-parameter quantized large language model for **content safety detection** and **prompt attack prevention**.
+
+---
+
+## Key Contributions
+
+1. **Configurable Safety Policy Mechanism**  
+   OpenGuardrails introduces a dynamic and configurable safety policy mechanism that allows organizations to adjust unsafe categories and detection thresholds based on their risk tolerance.  
+   The model outputs probabilistic confidence scores, enabling administrators to tune safety sensitivity for specific contexts.  
+   This approach provides an adaptive, enterprise-oriented framework for scalable safety governance.
+
+2. **Unified LLM-based Guard Architecture**  
+   A single large language model effectively performs both **content safety classification** and **prompt manipulation defense**, including prompt injections, jailbreaks, and code abuse attempts.  
+   Unlike hybrid architectures that rely on smaller BERT-style detectors, OpenGuardrails offers stronger semantic reasoning and easier deployment.
+
+3. **First Fully Open-source Guardrail System**  
+   OpenGuardrails is the first system to open-source both a **large-scale safety LLM** and a **production-ready guardrail platform**, including APIs, scripts, and modular components for private or on-premise deployment.
+
+4. **Scalable and Efficient Model Design**  
+   The OpenGuardrails-Text-2510 model is fine-tuned from a 14B dense model and quantized via GPTQ to 3.3B parameters, achieving **P95 latency of ~0.2s** on a single GPU — suitable for real-time enterprise applications.
+
+5. **Multilingual and Cross-domain Coverage**  
+   Supports **119 languages and dialects**, providing robust safety protection for global applications. The model performs strongly on both **prompt-level** and **response-level** classification tasks.
+
+6. **Open Safety Data Contribution**  
+   We release **OpenGuardrailsMixZh-97k**, a new multilingual safety dataset containing aligned translations of ToxicChat, WildGuardMix, PolyGuard, XSTest, and BeaverTails.  
+   It is openly available on Hugging Face under the Apache 2.0 license.
+
+7. **State-of-the-Art (SOTA) Safety Performance**  
+   OpenGuardrails achieves **state-of-the-art (SOTA) performance** on multiple safety benchmarks, excelling in both **prompt** and **response classification** across **English, Chinese, and multilingual tasks**.  
+   All models are released under the **Apache 2.0 License** for public use.
+
+For more details, please refer to our [Website](https://www.openguardrails.com/), [GitHub](https://github.com/openguardrails/openguardrails), and [Technical Report](https://github.com/openguardrails/openguardrails/blob/main/OpenGuardrailsTechReport.pdf).
+
+![image/jpeg](https://www.openguardrails.com/performance.png)
+
+---
+
+## Detection Dimensions
+
+| Label | Category                              | Risk Level | Description |
+| ------ | ------------------------------------- | ---------- | ------------ |
+| S1 | General Political Topics | 🟡 Medium | General political issues without sensitive content |
+| S2 | Sensitive Political Topics | 🔴 High | Topics involving subversion, separatism, or threats to national security |
+| S3 | Insult to National Symbols or Leaders | 🔴 High | Insulting national leaders, flag, emblem, or anthem |
+| S4 | Harm to Minors | 🟡 Medium | Child exploitation, nudity, abuse, or harmful content |
+| S5 | Violent Crime | 🔴 High | Promoting or glorifying violence (e.g., murder, terrorism) |
+| S6 | Non-Violent Crime | 🟡 Medium | Encouraging fraud, drugs, hacking, or other non-violent crimes |
+| S7 | Pornography | 🟡 Medium | Adult nudity, sexual acts, or obscene erotic content |
+| S8 | Hate & Discrimination | 🟢 Low | Discrimination or hate based on race, gender, religion, etc. |
+| S9 | Prompt Attacks | 🔴 High | Jailbreaks, injections, or prompt manipulation against the model |
+| S10 | Profanity | 🟢 Low | Profanity, insults, or vulgar and threatening speech |
+| S11 | Privacy Invasion | 🟢 Low | Leaking personal data such as ID, address, or medical info |
+| S12 | Commercial Violations | 🟢 Low | Fraud, unfair competition, or disclosure of trade secrets |
+| S13 | Intellectual Property Infringement | 🟢 Low | Plagiarism or copyright/patent violations |
+| S14 | Harassment | 🟢 Low | Verbal abuse, humiliation, or targeted attacks on others |
+| S15 | Weapons of Mass Destruction | 🔴 High | Promoting or describing WMDs (chemical, biological, nuclear) |
+| S16 | Self-Harm | 🟡 Medium | Encouraging suicide, self-injury, or eating disorders |
+| S17 | Sexual Crimes | 🔴 High | Promoting or depicting sexual assault or exploitation |
+| S18 | Threats | 🟢 Low | Issuing or implying violent threats or intimidation |
+| S19 | Professional Advice | �� Low | Providing financial, medical, or legal advice beyond general info |
+
+---
+
+## Quick Start
+
+### Using Transformers
+```bash
+pip install torch==2.8.0 transformers==4.55.2 accelerate==1.10.0 optimum==1.27.0 gptqmodel==2.2.0
+````
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "openguardrails/OpenGuardrails-Text-2510"
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype="auto", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+messages = [{"role": "user", "content": "How can I make a bomb?"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+outputs = model.generate(**inputs, max_new_tokens=10)
+response = tokenizer.decode(outputs[0][len(inputs.input_ids[0]):], skip_special_tokens=True)
+print(response)
+# unsafe\nS5
+```
+
+---
+
+### Using vLLM (Recommended)
+
+```bash
+vllm serve openguardrails/OpenGuardrails-Text-2510 --served-model-name OpenGuardrails-Text-2510 --max-model-len 8192 --port 8000
+```
+
+---
+
+### Using OpenAI-Compatible API
+
+```python
+from openai import OpenAI
+
+client = OpenAI(base_url="http://localhost:8000/v1")
+
+messages = [{"role": "user", "content": "Tell me how to make explosives"}]
+result = client.chat.completions.create(model="OpenGuardrails-Text-2510", messages=messages, temperature=0.0)
+print(result.choices[0].message.content)
+# unsafe\nS5
+```
+
+---
+
+## 🔍 Output Format
+
+| Output       | Description                                                                                          |
+| ------------ | ---------------------------------------------------------------------------------------------------- |
+| `safe`       | The content is safe.                                                                                 |
+| `unsafe\nS#` | Unsafe content detected with corresponding label (e.g., `S9` = Prompt Attack, `S5` = Violent Crime). |
+
+---
+
+## 📘 License
+
+Licensed under the **Apache License 2.0**, allowing:
+
+* Commercial use
+* Modification and redistribution
+* Private or on-premise deployment
+
+Full license text: [https://www.apache.org/licenses/LICENSE-2.0](https://www.apache.org/licenses/LICENSE-2.0)
+
+---
+
+## 🌍 Related Resources
+
+* **Website:** [https://www.openguardrails.com](https://www.openguardrails.com)
+* **GitHub:** [https://github.com/openguardrails/openguardrails](https://github.com/openguardrails/openguardrails)
+
+

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|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
+}

chat_template.jinja

@@ -0,0 +1,122 @@
+{%- set categories_text = unsafe_categories if unsafe_categories is defined else "S1: General Political Topics. 
+S2: Sensitive Political Topics. 
+S3: Insulting National Leaders or National Symbols. 
+S4: Harm to Minors. 
+S5: Violent Crimes. 
+S6: Non-Violent Crimes. 
+S7: Pornography. 
+S8: Hate and Discrimination. 
+S9: Prompt Injection Attacks. 
+S10: Profanity. 
+S11: Invasion of Personal Privacy. 
+S12: Commercial Misconduct. 
+S13: Intellectual Property Infringement. 
+S14: Harassment. 
+S15: Weapons of Mass Destruction. 
+S16: Self-Harm. 
+S17: Sex Crimes. 
+S18: Threats. 
+S19: Professional Advice. " -%}
+{% 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.
+
+<BEGIN UNSAFE CONTENT CATEGORIES>
+" + categories_text + "
+<END UNSAFE CONTENT CATEGORIES>
+
+<BEGIN CONVERSATION>
+
+" }}{% 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() + '
+
+' }}{% endfor %}{{ "<END CONVERSATION>
+
+Provide your safety assessment for ONLY THE LAST " + role + " message in the above conversation:
+ - First line must read 'safe' or 'unsafe'.
+ - If unsafe, a second line must include a comma-separated list of violated categories. [/INST]" }}{% endset %}{% set messages = [{'role':'user', 'content': __messages_content}] %}
+
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- 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' }}
+    {{- '<think>\n\n</think>\n\n' }}
+{%- endif %}

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.52.4"
+}

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