{"_id":"683f0ad7aadcd6f4348272cf","id":"Qwen/Qwen3-Reranker-4B","private":false,"pipeline_tag":"text-ranking","library_name":"transformers","tags":["transformers","safetensors","qwen3","text-generation","sentence-transformers","text-ranking","arxiv:2506.05176","base_model:Qwen/Qwen3-4B-Base","base_model:finetune:Qwen/Qwen3-4B-Base","license:apache-2.0","endpoints_compatible","deploy:sagemaker","region:us"],"downloads":2449443,"likes":155,"modelId":"Qwen/Qwen3-Reranker-4B","author":"Qwen","sha":"22e683669bc0f0bd69640a1354a6d0aebcfeede5","lastModified":"2026-04-16T08:56:07.000Z","gated":false,"disabled":false,"model-index":null,"config":{"architectures":["Qwen3ForCausalLM"],"model_type":"qwen3","tokenizer_config":{"bos_token":null,"chat_template":"{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\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    {%- endif %}\n{%- endif %}\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.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\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        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first 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    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}","eos_token":"<|im_end|>","pad_token":"<|endoftext|>","unk_token":null},"chat_template_jinja":"{%- set instruction = messages | selectattr(\"role\", \"eq\", \"system\") | map(attribute=\"content\") | first | default(\"Given a web search query, retrieve relevant passages that answer the query\") -%}\n{%- set query_text = messages | selectattr(\"role\", \"eq\", \"query\") | map(attribute=\"content\") | first -%}\n{%- set document_text = messages | selectattr(\"role\", \"eq\", \"document\") | map(attribute=\"content\") | first -%}\n<|im_start|>system\nJudge whether the Document meets the requirements based on the Query and the Instruct provided. Note that the answer can only be \"yes\" or \"no\".<|im_end|>\n<|im_start|>user\n<Instruct>: {{ instruction }}\n<Query>: {{ query_text }}\n<Document>: {{ document_text }}<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\n"},"cardData":{"license":"apache-2.0","base_model":["Qwen/Qwen3-4B-Base"],"library_name":"transformers","tags":["sentence-transformers"],"pipeline_tag":"text-ranking"},"transformersInfo":{"auto_model":"AutoModelForCausalLM","pipeline_tag":"text-generation","processor":"AutoTokenizer"},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"1_LogitScore/config.json"},{"rfilename":"README.md"},{"rfilename":"chat_template.jinja"},{"rfilename":"config.json"},{"rfilename":"config_sentence_transformers.json"},{"rfilename":"generation_config.json"},{"rfilename":"merges.txt"},{"rfilename":"model-00001-of-00002.safetensors"},{"rfilename":"model-00002-of-00002.safetensors"},{"rfilename":"model.safetensors.index.json"},{"rfilename":"modules.json"},{"rfilename":"sentence_bert_config.json"},{"rfilename":"special_tokens_map.json"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"},{"rfilename":"vocab.json"}],"spaces":["mteb/leaderboard","maufadel/wattgpu","kaengreg/rusBEIR","Agents-MCP-Hackathon/mcp-data-analyst","sergeyzh/rusBEIR-lite","VincentGOURBIN/swift-mlx-qwen3-chatbot","surfiniaburger/ZK-JBFuzz","leezhuuu/comsol-rag-expert-agent","1bincooo/rerank","MohitAron123/word","MohitAron123/text","Johnathan1/qwen-reranker-cpu","archivartaunik/NotebookLM"],"createdAt":"2025-06-03T14:46:47.000Z","safetensors":{"parameters":{"BF16":4021784576},"total":4021784576},"usedStorage":8055037614}