{"_id":"6a3c64c319d709ec9dece4cd","id":"LiquidAI/LFM2.5-230M","private":false,"pipeline_tag":"text-generation","library_name":"transformers","tags":["transformers","safetensors","lfm2","text-generation","liquid","lfm2.5","edge","conversational","en","ar","zh","fr","de","ja","ko","es","pt","it","arxiv:2511.23404","base_model:LiquidAI/LFM2.5-230M-Base","base_model:finetune:LiquidAI/LFM2.5-230M-Base","license:other","eval-results","endpoints_compatible","region:us"],"downloads":59208,"likes":288,"modelId":"LiquidAI/LFM2.5-230M","author":"LiquidAI","sha":"40cb2ad3b3044d5a41eee083a6103c8b523afa45","lastModified":"2026-08-19T13:47:32.000Z","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":["Lfm2ForCausalLM"],"model_type":"lfm2","tokenizer_config":{"bos_token":"<|startoftext|>","eos_token":"<|im_end|>","pad_token":"<|pad|>","use_default_system_prompt":false},"chat_template_jinja":"{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n    {%- if arg_value is string -%}\n        {{- \"'\" + arg_value + \"'\" -}}\n    {%- elif arg_value is mapping -%}\n        {{- arg_value | tojson -}}\n    {%- else -%}\n        {{- arg_value | string -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n    {%- if content is string -%}\n        {{- content -}}\n    {%- else -%}\n        {%- set _ns = namespace(result=\"\") -%}\n        {%- for item in content -%}\n            {%- if item[\"type\"] == \"image\" -%}\n                {%- set _ns.result = _ns.result + \"<image>\" -%}\n            {%- elif item[\"type\"] == \"text\" -%}\n                {%- set _ns.result = _ns.result + item[\"text\"] -%}\n            {%- else -%}\n                {%- set _ns.result = _ns.result + item | tojson -%}\n            {%- endif -%}\n        {%- endfor -%}\n        {{- _ns.result -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n    {%- for tool_call in tool_calls -%}\n        {%- set func_name = tool_call[\"function\"][\"name\"] -%}\n        {%- set func_args = tool_call[\"function\"][\"arguments\"] -%}\n        {%- set args_ns = namespace(arg_strings=[]) -%}\n        {%- for arg_name, arg_value in func_args.items() -%}\n            {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n        {%- endfor -%}\n        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n    {%- endfor -%}\n    {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages[0][\"role\"] == \"system\" -%}\n    {%- if messages[0].get(\"content\") -%}\n        {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n    {%- endif -%}\n    {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n    {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n    {%- for tool in tools -%}\n        {%- if tool is not string -%}\n            {%- set tool = tool | tojson -%}\n        {%- endif -%}\n        {%- set ns.system_prompt = ns.system_prompt + tool -%}\n        {%- if not loop.last -%}\n            {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n        {%- endif -%}\n    {%- endfor -%}\n    {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n    {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n    {%- if message[\"role\"] == \"user\" -%}\n        {%- set ns.last_user_index = loop.index0 -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n    {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n    {%- if message.role == \"assistant\" -%}\n        {%- generation -%}\n        {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n        {%- set thinking = thinking if thinking is string else \"\" -%}\n        {%- if thinking and (preserve_thinking or loop.index0 > ns.last_user_index) -%}\n            {{- \"<think>\" + thinking + \"</think>\" -}}\n        {%- endif -%}\n        {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n        {%- set _has_cfm = false -%}\n        {%- if message.content is defined -%}\n            {%- set content = parse_content(message.content) -%}\n            {%- if not (preserve_thinking or loop.index0 > ns.last_user_index) -%}\n                {%- if \"</think>\" in content -%}\n                    {%- set content = content.split(\"</think>\")[-1] | trim -%}\n                {%- endif -%}\n            {%- endif -%}\n            {%- if message.tool_calls is defined and content.endswith(_cfm_tag) -%}\n                {%- set _has_cfm = true -%}\n                {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n                {{- content[:_trunc_len] -}}\n            {%- else -%}\n                {{- content -}}\n            {%- endif -%}\n        {%- endif -%}\n        {%- if message.tool_calls is defined -%}\n            {{- render_tool_calls(message.tool_calls) -}}\n        {%- endif -%}\n        {%- if _has_cfm -%}\n            {{- _cfm_tag -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n        {%- endgeneration -%}\n    {%- else %}\n        {%- if message.get(\"content\") -%}\n            {{- parse_content(message[\"content\"]) -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n    {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{- \"<|im_start|>assistant\\n\" -}}\n{%- endif -%}"},"cardData":{"library_name":"transformers","license":"other","license_name":"lfm1.0","license_link":"LICENSE","language":["en","ar","zh","fr","de","ja","ko","es","pt","it"],"pipeline_tag":"text-generation","tags":["liquid","lfm2.5","edge"],"base_model":"LiquidAI/LFM2.5-230M-Base"},"transformersInfo":{"auto_model":"AutoModelForCausalLM","pipeline_tag":"text-generation","processor":"AutoTokenizer"},"siblings":[{"rfilename":".eval_results/LFM2.5-230M.yaml"},{"rfilename":".gitattributes"},{"rfilename":"LICENSE"},{"rfilename":"README.md"},{"rfilename":"chat_template.jinja"},{"rfilename":"config.json"},{"rfilename":"generation_config.json"},{"rfilename":"model.safetensors"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"}],"spaces":["webml-community/lfm2-webgpu-kernels","stanley-00/slm-testing","Nebulixlabs/Nutral-Reasoning","Danielsz/testing","choltha/lfm2-webgpu-kernels","Ramtinhoss/lfm2-webgpu-kernels","Ckimd/first_test","developerjeremylive/lfm2-webgpu-kernels-etheroi","Pq234/lfm2-webgpu-kernels","marinarosa/Jacobina","tommytracx/lfm2-webgpu-test","ukung/slm-testing"],"createdAt":"2026-06-24T23:14:11.000Z","safetensors":{"parameters":{"BF16":229693184},"total":229693184},"usedStorage":608482168}