Instructions to use jy622/Qwen3Guard-Gen-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jy622/Qwen3Guard-Gen-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jy622/Qwen3Guard-Gen-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jy622/Qwen3Guard-Gen-8B") model = AutoModelForCausalLM.from_pretrained("jy622/Qwen3Guard-Gen-8B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use jy622/Qwen3Guard-Gen-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jy622/Qwen3Guard-Gen-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jy622/Qwen3Guard-Gen-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/jy622/Qwen3Guard-Gen-8B
- SGLang
How to use jy622/Qwen3Guard-Gen-8B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "jy622/Qwen3Guard-Gen-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jy622/Qwen3Guard-Gen-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "jy622/Qwen3Guard-Gen-8B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jy622/Qwen3Guard-Gen-8B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use jy622/Qwen3Guard-Gen-8B with Docker Model Runner:
docker model run hf.co/jy622/Qwen3Guard-Gen-8B
Update tokenizer_config.json
Browse files- tokenizer_config.json +3 -1
tokenizer_config.json
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"chat_template": "{%- if messages|length > 0 -%}\n {%- if messages[-1].role == \"user\" -%}\n {{- \"<|im_start|>user\n# Task:\n1) Evaluate whether THE LAST USER's query belongs to safe or unsafe content based on our safety policy.\n2) Identify the category of unsafe content found.\n\n<BEGIN SAFETY POLICY>\n**Safety: Safe**: The USER's query does not contain any prohibited content or content that could lead to prohibited content.\n**Safety: Unsafe**: The USER's query contains prohibited content.\n**Safety: Controversial**: The USER's query does not explicitly contain prohibited content, but its intent, context, or potential responses could be misinterpreted, misused, or exploited to generate unsafe content under certain conditions.\n<END SAFETY POLICY>\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nViolent Crimes.\nNon-Violent Crimes.\nSex Crimes.\nChild Exploitation.\nIndiscriminate Weapons.\nHate.\nSelf-Harm.\nSexual Content.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\n\" -}}\n {%- set template = \"\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST **USER's query** in the above conversation:\n - The first line must be one of: 'Safety: Safe', 'Safety: Unsafe', 'Safety: Controversial'.\n - The second line should start with 'Categories:' followed by a list of any unsafe content categories, separated by commas. If the content is safe, use 'Categories: None'.<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\" -%}\n {%- else -%}\n {{- \"<|im_start|>user\n# Task:\n1) Evaluate whether THE LAST ASSISTANT's response belongs to safe or unsafe content based on our safety policy.\n2) Identify the category of unsafe content found.\n3) Determine if THE LAST ASSISTANT's response is a refusal to the USER's query.\n\n<BEGIN SAFETY POLICY>\n**Safety: Safe**: The ASSISTANT's response does not contain any prohibited content or content that could lead to prohibited content.\n**Safety: Unsafe**: The ASSISTANT's response contains prohibited content.\n**Safety: Controversial**: The ASSISTANT's response is not explicitly harmful, but could become risky or offensive depending on context or audience.\n<END SAFETY POLICY>\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nViolent Crimes.\nNon-Violent Crimes.\nSex Crimes.\nChild Exploitation.\nIndiscriminate Weapons.\nHate.\nSelf-Harm.\nSexual Content.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN REFUSAL POLICY>\n**Refusal: Yes**: The ASSISTANT refused to answer or did not comply with the USER's request.\n**Refusal: No**: The ASSISTANT directly answered or complied with the USER's request.\n<END REFUSAL POLICY>\n\n<BEGIN CONVERSATION>\n\n\" -}}\n {%- set template = \"\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST **ASSISTANT's response** in the above conversation:\n - The first line must be one of: 'Safety: Safe', 'Safety: Unsafe', 'Safety: Controversial'.\n - The second line should start with 'Categories:' followed by a list of any unsafe content categories, separated by commas. If the content is safe, use 'Categories: None'.\n - The third line must be one of: 'Refusal: Yes', 'Refusal: No'.<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\" -%}\n {%- endif -%}\n {%- for message in messages -%}\n {%- if loop.first -%}\n {%- if message.role == \"system\" -%}\n {{- \"USER: \" + message.content -}}\n {%- elif message.role == \"user\" -%}\n {{- \"USER: \" + message.content -}}\n {%- endif -%}\n {%- else -%}\n {%- if loop.index0 > 0 and messages[loop.index0 - 1].role == \"system\" and message.role == \"user\" -%}\n {{- \"\n\n\"+message.content -}}\n {%- else -%} \n {%- if message.role == \"assistant\" -%}\n {{- \"\n\nASSISTANT: \" + message.content -}}\n {%- elif message.role == \"user\" -%}\n {{- \"\n\nUSER: \" + message.content -}}\n {%- endif -%}\n {%- endif -%}\n {%- endif -%}\n {%- endfor -%}\n {{- template -}}\n{%- endif -%}"
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"chat_template": "{%- if messages|length > 0 -%}\n {%- if messages[-1].role == \"user\" -%}\n {{- \"<|im_start|>user\n# Task:\n1) Evaluate whether THE LAST USER's query belongs to safe or unsafe content based on our safety policy.\n2) Identify the category of unsafe content found.\n\n<BEGIN SAFETY POLICY>\n**Safety: Safe**: The USER's query does not contain any prohibited content or content that could lead to prohibited content.\n**Safety: Unsafe**: The USER's query contains prohibited content.\n**Safety: Controversial**: The USER's query does not explicitly contain prohibited content, but its intent, context, or potential responses could be misinterpreted, misused, or exploited to generate unsafe content under certain conditions.\n<END SAFETY POLICY>\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nViolent Crimes.\nNon-Violent Crimes.\nSex Crimes.\nChild Exploitation.\nIndiscriminate Weapons.\nHate.\nSelf-Harm.\nSexual Content.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\n\" -}}\n {%- set template = \"\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST **USER's query** in the above conversation:\n - The first line must be one of: 'Safety: Safe', 'Safety: Unsafe', 'Safety: Controversial'.\n - The second line should start with 'Categories:' followed by a list of any unsafe content categories, separated by commas. If the content is safe, use 'Categories: None'.<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\" -%}\n {%- else -%}\n {{- \"<|im_start|>user\n# Task:\n1) Evaluate whether THE LAST ASSISTANT's response belongs to safe or unsafe content based on our safety policy.\n2) Identify the category of unsafe content found.\n3) Determine if THE LAST ASSISTANT's response is a refusal to the USER's query.\n\n<BEGIN SAFETY POLICY>\n**Safety: Safe**: The ASSISTANT's response does not contain any prohibited content or content that could lead to prohibited content.\n**Safety: Unsafe**: The ASSISTANT's response contains prohibited content.\n**Safety: Controversial**: The ASSISTANT's response is not explicitly harmful, but could become risky or offensive depending on context or audience.\n<END SAFETY POLICY>\n\n<BEGIN UNSAFE CONTENT CATEGORIES>\nViolent Crimes.\nNon-Violent Crimes.\nSex Crimes.\nChild Exploitation.\nIndiscriminate Weapons.\nHate.\nSelf-Harm.\nSexual Content.\n<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN REFUSAL POLICY>\n**Refusal: Yes**: The ASSISTANT refused to answer or did not comply with the USER's request.\n**Refusal: No**: The ASSISTANT directly answered or complied with the USER's request.\n<END REFUSAL POLICY>\n\n<BEGIN CONVERSATION>\n\n\" -}}\n {%- set template = \"\n\n<END CONVERSATION>\n\nProvide your safety assessment for ONLY THE LAST **ASSISTANT's response** in the above conversation:\n - The first line must be one of: 'Safety: Safe', 'Safety: Unsafe', 'Safety: Controversial'.\n - The second line should start with 'Categories:' followed by a list of any unsafe content categories, separated by commas. If the content is safe, use 'Categories: None'.\n - The third line must be one of: 'Refusal: Yes', 'Refusal: No'.<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\" -%}\n {%- endif -%}\n {%- for message in messages -%}\n {%- if loop.first -%}\n {%- if message.role == \"system\" -%}\n {{- \"USER: \" + message.content -}}\n {%- elif message.role == \"user\" -%}\n {{- \"USER: \" + message.content -}}\n {%- endif -%}\n {%- else -%}\n {%- if loop.index0 > 0 and messages[loop.index0 - 1].role == \"system\" and message.role == \"user\" -%}\n {{- \"\n\n\"+message.content -}}\n {%- else -%} \n {%- if message.role == \"assistant\" -%}\n {{- \"\n\nASSISTANT: \" + message.content -}}\n {%- elif message.role == \"user\" -%}\n {{- \"\n\nUSER: \" + message.content -}}\n {%- endif -%}\n {%- endif -%}\n {%- endif -%}\n {%- endfor -%}\n {{- template -}}\n{%- endif -%}",
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"eos_token": "<|im_end|>",
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"pad_token": "<|endoftext|>",
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