{"_id":"69aa5616694b8c458f952946","id":"codefuse-ai/F2LLM-v2-80M","private":false,"pipeline_tag":"feature-extraction","library_name":"transformers","tags":["transformers","safetensors","qwen3","feature-extraction","sentence-transformers","en","zh","ru","es","fr","de","ar","nl","vi","hi","ko","ja","it","id","pt","pl","tr","da","th","sv","fa","uk","cs","no","el","ca","ro","fi","bg","tl","gl","my","hy","km","ne","hu","eu","he","lo","sw","az","lv","si","sk","tg","et","lt","ms","hr","is","sl","sr","ur","bn","af","ta","ka","te","ml","mn","nn","kk","cy","mr","sq","nb","mk","jv","kn","eo","la","gu","uz","am","oc","be","mg","vo","pa","lb","ht","br","ga","xh","tt","bs","yo","dataset:codefuse-ai/F2LLM-v2","arxiv:2603.19223","base_model:codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-80M","base_model:finetune:codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-80M","license:apache-2.0","text-embeddings-inference","endpoints_compatible","region:us"],"downloads":20146,"likes":16,"modelId":"codefuse-ai/F2LLM-v2-80M","author":"codefuse-ai","sha":"ad88d7a126711f1490cd4bad645dc9d3acc2af6a","lastModified":"2026-09-03T11:58:58.000Z","gated":false,"disabled":false,"model-index":null,"config":{"architectures":["Qwen3Model"],"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 message.content is string 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.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\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        {%- 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        {{- 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}},"cardData":{"license":"apache-2.0","language":["en","zh","ru","es","fr","de","ar","nl","vi","hi","ko","ja","it","id","pt","pl","tr","da","th","sv","fa","uk","cs","no","el","ca","ro","fi","bg","tl","gl","my","hy","km","ne","hu","eu","he","lo","sw","az","lv","si","sk","tg","et","lt","ms","hr","is","sl","sr","ur","bn","af","ta","ka","te","ml","mn","nn","kk","cy","mr","sq","nb","mk","jv","kn","eo","la","gu","uz","am","oc","be","mg","vo","pa","lb","ht","br","ga","xh","tt","bs","yo"],"base_model":["codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-80M"],"pipeline_tag":"feature-extraction","library_name":"transformers","tags":["sentence-transformers"],"datasets":["codefuse-ai/F2LLM-v2"]},"transformersInfo":{"auto_model":"AutoModel","pipeline_tag":"feature-extraction","processor":"AutoTokenizer"},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"1_Pooling/config.json"},{"rfilename":"README.md"},{"rfilename":"added_tokens.json"},{"rfilename":"config.json"},{"rfilename":"config_sentence_transformers.json"},{"rfilename":"img/mrl.png"},{"rfilename":"img/performance.png"},{"rfilename":"merges.txt"},{"rfilename":"model.safetensors"},{"rfilename":"modules.json"},{"rfilename":"special_tokens_map.json"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"},{"rfilename":"vocab.json"}],"spaces":["mteb/leaderboard","MTEB-BR/leaderboard","hakari-bench/leaderboard","maxpar1/leaderboard","kiedistv/leaderboard","qiaosong88/leaderboard","ArtemBolgov/leaderboard","malyvena/leaderboard","HuggingLLM/leaderboard","wangsh0111/leaderboard","kaotd/leaderboard"],"createdAt":"2026-03-06T04:20:38.000Z","safetensors":{"parameters":{"BF16":80084288},"total":80084288},"inference":"warm","usedStorage":8010379212}