Text Generation
Transformers
Safetensors
English
Chinese
nanbeige
llm
conversational
custom_code
Eval Results
Instructions to use Nanbeige/Nanbeige4.2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nanbeige/Nanbeige4.2-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Nanbeige/Nanbeige4.2-3B", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Nanbeige/Nanbeige4.2-3B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Nanbeige/Nanbeige4.2-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Nanbeige/Nanbeige4.2-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Nanbeige/Nanbeige4.2-3B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Nanbeige/Nanbeige4.2-3B
- SGLang
How to use Nanbeige/Nanbeige4.2-3B 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 "Nanbeige/Nanbeige4.2-3B" \ --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": "Nanbeige/Nanbeige4.2-3B", "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 "Nanbeige/Nanbeige4.2-3B" \ --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": "Nanbeige/Nanbeige4.2-3B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Nanbeige/Nanbeige4.2-3B with Docker Model Runner:
docker model run hf.co/Nanbeige/Nanbeige4.2-3B
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "add_prefix_space": true, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "166100": { | |
| "content": "<|im_start|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "166101": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "166102": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "166103": { | |
| "content": "<think>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": false | |
| }, | |
| "166104": { | |
| "content": "</think>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": false | |
| }, | |
| "166105": { | |
| "content": "<tool_call>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": false | |
| }, | |
| "166106": { | |
| "content": "</tool_call>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": false | |
| } | |
| }, | |
| "additional_special_tokens": [ | |
| "<|endoftext|>" | |
| ], | |
| "bos_token": "<|im_start|>", | |
| "chat_template": "\n\n{%- macro visible_text(content) -%}\n {%- if content is string -%}\n {{- content }}\n {%- elif content is iterable and content is not mapping -%}\n {%- for item in content -%}\n {%- if item is mapping and item.type == 'text' -%}\n {{- item.text }}\n {%- elif item is string -%}\n {{- item }}\n {%- elif item is mapping and item.type in ['image', 'image_url', 'video', 'video_url', 'audio', 'audio_url', 'input_audio'] -%}\n {%- set media_type = item.type | replace('_url', '') | replace('input_', '') -%}\n {{- \"<reminder>You are unable to process this \" ~ media_type ~ \" because you don't have multi-modal input ability. Try different methods.</reminder>\" }}\n {%- endif -%}\n {%- endfor -%}\n {%- else -%}\n {{- content }}\n {%- endif -%}\n{%- endmacro -%}\n\n\n{%- set tool_call_format = tool_call_format if tool_call_format is defined else 'xml' %}\n{%- if tools %}\n {{- '<|im_start|>system\\n' }} \n {%- if messages|length > 0 and messages[0].get('role', '') == 'system' %}\n {{- visible_text(messages[0].content) + '\\n\\n' }}\n {%- else %} \n {{- '你是一位工具函数调用专家,你会得到一个问题和一组可能的工具函数。根据问题,你需要进行一个或多个函数/工具调用以实现目的,请尽量尝试探索通过工具解决问题。\\n如果没有一个函数可以使用,请直接使用自然语言回复用户。\\n如果给定的问题缺少函数所需的参数,请使用自然语言进行提问,向用户询问必要信息。\\n如果调用结果已经足够回答用户问题,请对历史结果进行总结,使用自然语言回复用户。' }} \n {%- 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n \n {%- if tool_call_format == 'json' %}\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\" }}\n {{- '<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n' }}\n {%- else %}\n {{- \"\\n</tools>\\n\\nFor each function call, output the function name and arguments within the following XML format:\\n\" }}\n {{- '<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call><|im_end|>\\n' }}\n {%- endif %}\n \n{%- else %}\n {%- if messages|length > 0 and messages[0].get('role', '') == 'system' %}\n {{- '<|im_start|>system\\n' + visible_text(messages[0].content) + '<|im_end|>\\n' }}\n {%- else %} \n {{- '<|im_start|>system\\n你是南北阁,一款由BOSS直聘自主研发并训练的专业大语言模型。<|im_end|>\\n' }} \n {%- endif %}\n{%- endif %}\n\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.get('role', '') == \"user\" and visible_text(message.content) is string and not(visible_text(message.content).startswith('<tool_response>') and visible_text(message.content).endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n\n{%- for message in messages %}\n {%- if visible_text(message.content) is string %}\n {%- set content = visible_text(message.content) %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n \n {%- if message.get('role', '') == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n \n {%- elif message.get('role', '') == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- set reasoning_content = reasoning_content|trim %}\n \n {%- if (preserve_thinking is defined and preserve_thinking is false) and (loop.index0 < ns.last_query_index) %}\n {{- '<|im_start|>' + message.get('role', '') + '\\n<think>\\n\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.get('role', '') + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- endif %}\n \n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- if tool_call_format == 'json' %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- else %}\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 {%- if loop.first %}\n {%- if content|trim %}\n {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}\n {%- else %}\n {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}\n {%- endif %}\n {%- else %}\n {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}\n {%- endif %}\n \n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\n' }}\n {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n {{- args_value }}\n {{- '\n</parameter>\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n \n {%- elif message.get('role', '') == \"tool\" %}\n {%- if loop.previtem and loop.previtem.get('role', '') != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or loop.nextitem.get('role', '') != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- elif message.get('role', '') != '' %}\n {{- '<|im_start|>' + message.get('role', '') + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- endif %}\n{%- endfor %}\n\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n \n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\n\n</think>\n\n' }}\n {%- else %}\n {{- '<think>\n' }}\n {%- endif %}\n \n{%- endif %}\n", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "extra_special_tokens": {}, | |
| "legacy": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<unk>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |