{"_id":"6aa6168379bbad2bc22bcc0d","id":"internlm/Intern-S2-397B","private":false,"pipeline_tag":"image-text-to-text","library_name":"transformers","tags":["transformers","safetensors","qwen3_5_moe","image-text-to-text","conversational","license:apache-2.0","endpoints_compatible","region:us"],"downloads":694,"likes":46,"modelId":"internlm/Intern-S2-397B","author":"internlm","sha":"85c1f58844e68836ec02245183cfa671de20977a","lastModified":"2026-09-24T07:00:15.000Z","gated":false,"disabled":false,"widgetData":[{"text":"Hi, what can you help me with?"},{"text":"What is 84 * 3 / 2?"},{"text":"Tell me an interesting fact about the universe!"},{"text":"Explain quantum computing in simple terms."}],"model-index":null,"config":{"architectures":["Qwen3_5MoeForConditionalGeneration"],"model_type":"qwen3_5_moe","tokenizer_config":{"bos_token":"<|im_start|>","eos_token":"<|im_end|>","pad_token":"<|endoftext|>","unk_token":null},"chat_template_jinja":"{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n                {%- elif 'time_series' in item or item.type == 'time_series' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain time series.') }}\n                {%- endif %}\n                {{- '<|ts|><TS_CONTEXT><|/ts|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- set ts_ns = namespace(has_time_series=false) %}\n{%- for message in messages %}\n    {%- if message.content is iterable and message.content is not mapping and message.content is not string %}\n        {%- for item in message.content %}\n            {%- if 'time_series' in item or item.type == 'time_series' %}\n                {%- set ts_ns.has_time_series = true %}\n            {%- endif %}\n        {%- endfor %}\n    {%- endif %}\n{%- endfor %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\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>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {{- '<|im_start|>system\\n' + 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\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.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        {%- if (clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\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                {%- 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                {%- 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 | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- elif message.role != \"system\" %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if ts_ns.has_time_series or (enable_thinking is defined and enable_thinking is false) %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- else %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}"},"cardData":{"library_name":"transformers","license":"apache-2.0","license_link":"https://huggingface.co/internlm/Intern-S2/blob/main/LICENSE","pipeline_tag":"image-text-to-text"},"transformersInfo":{"auto_model":"AutoModelForMultimodalLM","pipeline_tag":"image-text-to-text","processor":"AutoProcessor"},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"LICENSE"},{"rfilename":"README.md"},{"rfilename":"chat_template.jinja"},{"rfilename":"config.json"},{"rfilename":"deployment_guide.md"},{"rfilename":"figs/intern-s2-397b.jpg"},{"rfilename":"figs/title.png"},{"rfilename":"generation_config.json"},{"rfilename":"merges.txt"},{"rfilename":"model-00001-of-00188.safetensors"},{"rfilename":"model-00002-of-00188.safetensors"},{"rfilename":"model-00003-of-00188.safetensors"},{"rfilename":"model-00004-of-00188.safetensors"},{"rfilename":"model-00005-of-00188.safetensors"},{"rfilename":"model-00006-of-00188.safetensors"},{"rfilename":"model-00007-of-00188.safetensors"},{"rfilename":"model-00008-of-00188.safetensors"},{"rfilename":"model-00009-of-00188.safetensors"},{"rfilename":"model-00010-of-00188.safetensors"},{"rfilename":"model-00011-of-00188.safetensors"},{"rfilename":"model-00012-of-00188.safetensors"},{"rfilename":"model-00013-of-00188.safetensors"},{"rfilename":"model-00014-of-00188.safetensors"},{"rfilename":"model-00015-of-00188.safetensors"},{"rfilename":"model-00016-of-00188.safetensors"},{"rfilename":"model-00017-of-00188.safetensors"},{"rfilename":"model-00018-of-00188.safetensors"},{"rfilename":"model-00019-of-00188.safetensors"},{"rfilename":"model-00020-of-00188.safetensors"},{"rfilename":"model-00021-of-00188.safetensors"},{"rfilename":"model-00022-of-00188.safetensors"},{"rfilename":"model-00023-of-00188.safetensors"},{"rfilename":"model-00024-of-00188.safetensors"},{"rfilename":"model-00025-of-00188.safetensors"},{"rfilename":"model-00026-of-00188.safetensors"},{"rfilename":"model-00027-of-00188.safetensors"},{"rfilename":"model-00028-of-00188.safetensors"},{"rfilename":"model-00029-of-00188.safetensors"},{"rfilename":"model-00030-of-00188.safetensors"},{"rfilename":"model-00031-of-00188.safetensors"},{"rfilename":"model-00032-of-00188.safetensors"},{"rfilename":"model-00033-of-00188.safetensors"},{"rfilename":"model-00034-of-00188.safetensors"},{"rfilename":"model-00035-of-00188.safetensors"},{"rfilename":"model-00036-of-00188.safetensors"},{"rfilename":"model-00037-of-00188.safetensors"},{"rfilename":"model-00038-of-00188.safetensors"},{"rfilename":"model-00039-of-00188.safetensors"},{"rfilename":"model-00040-of-00188.safetensors"},{"rfilename":"model-00041-of-00188.safetensors"},{"rfilename":"model-00042-of-00188.safetensors"},{"rfilename":"model-00043-of-00188.safetensors"},{"rfilename":"model-00044-of-00188.safetensors"},{"rfilename":"model-00045-of-00188.safetensors"},{"rfilename":"model-00046-of-00188.safetensors"},{"rfilename":"model-00047-of-00188.safetensors"},{"rfilename":"model-00048-of-00188.safetensors"},{"rfilename":"model-00049-of-00188.safetensors"},{"rfilename":"model-00050-of-00188.safetensors"},{"rfilename":"model-00051-of-00188.safetensors"},{"rfilename":"model-00052-of-00188.safetensors"},{"rfilename":"model-00053-of-00188.safetensors"},{"rfilename":"model-00054-of-00188.safetensors"},{"rfilename":"model-00055-of-00188.safetensors"},{"rfilename":"model-00056-of-00188.safetensors"},{"rfilename":"model-00057-of-00188.safetensors"},{"rfilename":"model-00058-of-00188.safetensors"},{"rfilename":"model-00059-of-00188.safetensors"},{"rfilename":"model-00060-of-00188.safetensors"},{"rfilename":"model-00061-of-00188.safetensors"},{"rfilename":"model-00062-of-00188.safetensors"},{"rfilename":"model-00063-of-00188.safetensors"},{"rfilename":"model-00064-of-00188.safetensors"},{"rfilename":"model-00065-of-00188.safetensors"},{"rfilename":"model-00066-of-00188.safetensors"},{"rfilename":"model-00067-of-00188.safetensors"},{"rfilename":"model-00068-of-00188.safetensors"},{"rfilename":"model-00069-of-00188.safetensors"},{"rfilename":"model-00070-of-00188.safetensors"},{"rfilename":"model-00071-of-00188.safetensors"},{"rfilename":"model-00072-of-00188.safetensors"},{"rfilename":"model-00073-of-00188.safetensors"},{"rfilename":"model-00074-of-00188.safetensors"},{"rfilename":"model-00075-of-00188.safetensors"},{"rfilename":"model-00076-of-00188.safetensors"},{"rfilename":"model-00077-of-00188.safetensors"},{"rfilename":"model-00078-of-00188.safetensors"},{"rfilename":"model-00079-of-00188.safetensors"},{"rfilename":"model-00080-of-00188.safetensors"},{"rfilename":"model-00081-of-00188.safetensors"},{"rfilename":"model-00082-of-00188.safetensors"},{"rfilename":"model-00083-of-00188.safetensors"},{"rfilename":"model-00084-of-00188.safetensors"},{"rfilename":"model-00085-of-00188.safetensors"},{"rfilename":"model-00086-of-00188.safetensors"},{"rfilename":"model-00087-of-00188.safetensors"},{"rfilename":"model-00088-of-00188.safetensors"},{"rfilename":"model-00089-of-00188.safetensors"},{"rfilename":"model-00090-of-00188.safetensors"},{"rfilename":"model-00091-of-00188.safetensors"},{"rfilename":"model-00092-of-00188.safetensors"},{"rfilename":"model-00093-of-00188.safetensors"},{"rfilename":"model-00094-of-00188.safetensors"},{"rfilename":"model-00095-of-00188.safetensors"},{"rfilename":"model-00096-of-00188.safetensors"},{"rfilename":"model-00097-of-00188.safetensors"},{"rfilename":"model-00098-of-00188.safetensors"},{"rfilename":"model-00099-of-00188.safetensors"},{"rfilename":"model-00100-of-00188.safetensors"},{"rfilename":"model-00101-of-00188.safetensors"},{"rfilename":"model-00102-of-00188.safetensors"},{"rfilename":"model-00103-of-00188.safetensors"},{"rfilename":"model-00104-of-00188.safetensors"},{"rfilename":"model-00105-of-00188.safetensors"},{"rfilename":"model-00106-of-00188.safetensors"},{"rfilename":"model-00107-of-00188.safetensors"},{"rfilename":"model-00108-of-00188.safetensors"},{"rfilename":"model-00109-of-00188.safetensors"},{"rfilename":"model-00110-of-00188.safetensors"},{"rfilename":"model-00111-of-00188.safetensors"},{"rfilename":"model-00112-of-00188.safetensors"},{"rfilename":"model-00113-of-00188.safetensors"},{"rfilename":"model-00114-of-00188.safetensors"},{"rfilename":"model-00115-of-00188.safetensors"},{"rfilename":"model-00116-of-00188.safetensors"},{"rfilename":"model-00117-of-00188.safetensors"},{"rfilename":"model-00118-of-00188.safetensors"},{"rfilename":"model-00119-of-00188.safetensors"},{"rfilename":"model-00120-of-00188.safetensors"},{"rfilename":"model-00121-of-00188.safetensors"},{"rfilename":"model-00122-of-00188.safetensors"},{"rfilename":"model-00123-of-00188.safetensors"},{"rfilename":"model-00124-of-00188.safetensors"},{"rfilename":"model-00125-of-00188.safetensors"},{"rfilename":"model-00126-of-00188.safetensors"},{"rfilename":"model-00127-of-00188.safetensors"},{"rfilename":"model-00128-of-00188.safetensors"},{"rfilename":"model-00129-of-00188.safetensors"},{"rfilename":"model-00130-of-00188.safetensors"},{"rfilename":"model-00131-of-00188.safetensors"},{"rfilename":"model-00132-of-00188.safetensors"},{"rfilename":"model-00133-of-00188.safetensors"},{"rfilename":"model-00134-of-00188.safetensors"},{"rfilename":"model-00135-of-00188.safetensors"},{"rfilename":"model-00136-of-00188.safetensors"},{"rfilename":"model-00137-of-00188.safetensors"},{"rfilename":"model-00138-of-00188.safetensors"},{"rfilename":"model-00139-of-00188.safetensors"},{"rfilename":"model-00140-of-00188.safetensors"},{"rfilename":"model-00141-of-00188.safetensors"},{"rfilename":"model-00142-of-00188.safetensors"},{"rfilename":"model-00143-of-00188.safetensors"},{"rfilename":"model-00144-of-00188.safetensors"},{"rfilename":"model-00145-of-00188.safetensors"},{"rfilename":"model-00146-of-00188.safetensors"},{"rfilename":"model-00147-of-00188.safetensors"},{"rfilename":"model-00148-of-00188.safetensors"},{"rfilename":"model-00149-of-00188.safetensors"},{"rfilename":"model-00150-of-00188.safetensors"},{"rfilename":"model-00151-of-00188.safetensors"},{"rfilename":"model-00152-of-00188.safetensors"},{"rfilename":"model-00153-of-00188.safetensors"},{"rfilename":"model-00154-of-00188.safetensors"},{"rfilename":"model-00155-of-00188.safetensors"},{"rfilename":"model-00156-of-00188.safetensors"},{"rfilename":"model-00157-of-00188.safetensors"},{"rfilename":"model-00158-of-00188.safetensors"},{"rfilename":"model-00159-of-00188.safetensors"},{"rfilename":"model-00160-of-00188.safetensors"},{"rfilename":"model-00161-of-00188.safetensors"},{"rfilename":"model-00162-of-00188.safetensors"},{"rfilename":"model-00163-of-00188.safetensors"},{"rfilename":"model-00164-of-00188.safetensors"},{"rfilename":"model-00165-of-00188.safetensors"},{"rfilename":"model-00166-of-00188.safetensors"},{"rfilename":"model-00167-of-00188.safetensors"},{"rfilename":"model-00168-of-00188.safetensors"},{"rfilename":"model-00169-of-00188.safetensors"},{"rfilename":"model-00170-of-00188.safetensors"},{"rfilename":"model-00171-of-00188.safetensors"},{"rfilename":"model-00172-of-00188.safetensors"},{"rfilename":"model-00173-of-00188.safetensors"},{"rfilename":"model-00174-of-00188.safetensors"},{"rfilename":"model-00175-of-00188.safetensors"},{"rfilename":"model-00176-of-00188.safetensors"},{"rfilename":"model-00177-of-00188.safetensors"},{"rfilename":"model-00178-of-00188.safetensors"},{"rfilename":"model-00179-of-00188.safetensors"},{"rfilename":"model-00180-of-00188.safetensors"},{"rfilename":"model-00181-of-00188.safetensors"},{"rfilename":"model-00182-of-00188.safetensors"},{"rfilename":"model-00183-of-00188.safetensors"},{"rfilename":"model-00184-of-00188.safetensors"},{"rfilename":"model-00185-of-00188.safetensors"},{"rfilename":"model-00186-of-00188.safetensors"},{"rfilename":"model-00187-of-00188.safetensors"},{"rfilename":"model-00188-of-00188.safetensors"},{"rfilename":"model.safetensors.index.json"},{"rfilename":"preprocessor_config.json"},{"rfilename":"tokenization_interns1.py"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_PROT.model"},{"rfilename":"tokenizer_SMILES.model"},{"rfilename":"tokenizer_XNA.model"},{"rfilename":"tokenizer_config.json"},{"rfilename":"video_preprocessor_config.json"},{"rfilename":"vocab.json"}],"spaces":[],"createdAt":"2026-09-13T03:20:35.000Z","safetensors":{"parameters":{"BF16":403423086128,"F32":8640},"total":403423094768},"usedStorage":806874934371}