{"_id":"68aaebfbfe684542cfc51e66","id":"openbmb/MiniCPM-V-4_5","private":false,"pipeline_tag":"image-text-to-text","library_name":"transformers","tags":["transformers","safetensors","minicpmv","feature-extraction","minicpm-v","vision","ocr","multi-image","video","custom_code","image-text-to-text","conversational","multilingual","dataset:openbmb/RLAIF-V-Dataset","arxiv:2509.18154","arxiv:2403.11703","license:apache-2.0","eval-results","region:us"],"downloads":216758,"likes":1099,"modelId":"openbmb/MiniCPM-V-4_5","author":"openbmb","sha":"daef484c35ec93210ec93c5e901f8f3e9b78ee34","lastModified":"2026-08-18T03:58:09.000Z","gated":false,"disabled":false,"model-index":null,"config":{"architectures":["MiniCPMV"],"auto_map":{"AutoConfig":"configuration_minicpm.MiniCPMVConfig","AutoModel":"modeling_minicpmv.MiniCPMV","AutoModelForCausalLM":"modeling_minicpmv.MiniCPMV"},"model_type":"minicpmv","tokenizer_config":{"bos_token":"<|im_start|>","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    {%- if enable_thinking is defined and enable_thinking is true %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}","eos_token":"<|im_end|>","pad_token":"<|endoftext|>","unk_token":"<unk>"}},"cardData":{"pipeline_tag":"image-text-to-text","datasets":["openbmb/RLAIF-V-Dataset"],"library_name":"transformers","language":["multilingual"],"tags":["minicpm-v","vision","ocr","multi-image","video","custom_code"],"license":"apache-2.0"},"transformersInfo":{"auto_model":"AutoModel","custom_class":"modeling_minicpmv.MiniCPMV","pipeline_tag":"feature-extraction"},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"README.md"},{"rfilename":"added_tokens.json"},{"rfilename":"config.json"},{"rfilename":"configuration_minicpm.py"},{"rfilename":"generation_config.json"},{"rfilename":"image_processing_minicpmv.py"},{"rfilename":"merges.txt"},{"rfilename":"model-00001-of-00004.safetensors"},{"rfilename":"model-00002-of-00004.safetensors"},{"rfilename":"model-00003-of-00004.safetensors"},{"rfilename":"model-00004-of-00004.safetensors"},{"rfilename":"model.safetensors.index.json"},{"rfilename":"modeling_minicpmv.py"},{"rfilename":"modeling_navit_siglip.py"},{"rfilename":"preprocessor_config.json"},{"rfilename":"processing_minicpmv.py"},{"rfilename":"resampler.py"},{"rfilename":"special_tokens_map.json"},{"rfilename":"tokenization_minicpmv_fast.py"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"},{"rfilename":"vocab.json"}],"spaces":["openbmb/MiniCPM-V-4_5-Demo","jairwaal/image","akhaliq/MiniCPM-V-4_5","akhaliq/MiniCPM-V-4_5-video-chat","Jakob08/moneychatbot","Secondprinsipal/image","build-small-hackathon/repair-guy","build-small-hackathon/unstuck","build-small-hackathon/pareidolia","build-small-hackathon/tutordesk-ai","huggingfaceramki/Ramkiran_searchgpt","build-small-hackathon/Pharma-Copilot","build-small-hackathon/Redac","build-small-hackathon/rupkotha","orrzxz/MiniCPM-V-4_5","WYC-2025/MiniCPM-V-4_5","CGQN/MiniCPM-V-4_5","CGQN/MiniCPM-V-4_5-from_gpt5","CGQN/MiniCPM-V-4_5-CPU-0","NovaCorp/Mi-modelo","malekradwan130/EbWFsZWtyYWR3YW4xMzBAZ21haWwuY","aatankwad/firstpish","Karenae/MiniCPM-V-4_5-video-chat","j4s0ch3/muse-buddy-assistant","armaansingh752k1/Image_generator_Docker","lipu-2026/LifeSnapPlanner","airayven7/repair-guy","mkim0818/paia-lane-12f-eval","mkim0818/paia-lane-train","mkim0818/paia-hier-eval-space","Urytorre1/MiniCPM-V-4_5"],"createdAt":"2025-08-24T10:39:55.000Z","safetensors":{"parameters":{"BF16":8695895280},"total":8695895280},"usedStorage":17403328052}