CentIo/Cent1-1B
hf CentIo/Cent1-1B 2 sources, 2 claims · Watch
What each source says
| Property | Source | Said | Means here | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Author author not compared | GGUF quantisations | mradermacherreceipt
What the source handed over{
"_id": "6abae62a36f33cad7098b453",
"author": "mradermacher",
"cardData": {
"base_model": "CentIo/Cent1-1B",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"createdAt": "2026-09-28T22:11:54.000Z",
"downloads": 471,
"gated": false,
"id": "mradermacher/Cent1-1B-GGUF",
"lastModified": "2026-09-28T22:20:45.000Z",
"library_name": "transformers",
"likes": 0,
"modelId": "mradermacher/Cent1-1B-GGUF",
"private": false,
"sha": "1f688a5027c6f08292f4566143eaa4c177a3a989",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "Cent1-1B.IQ4_XS.gguf"
},
{
"rfilename": "Cent1-1B.Q2_K.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_L.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q6_K.gguf"
},
{
"rfilename": "Cent1-1B.Q8_0.gguf"
},
{
"rfilename": "Cent1-1B.f16.gguf"
},
{
"rfilename": "README.md"
}
],
"tags": [
"transformers",
"gguf",
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch",
"en",
"base_model:CentIo/Cent1-1B",
"base_model:quantized:CentIo/Cent1-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
]
} | — | ||||||
| Author author not compared | Hugging Face models | CentIoreceipt
What the source handed over{
"_asked": "CentIo/Cent1-1B",
"_id": "6ab97b119281fcce91aef171",
"author": "CentIo",
"cardData": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{%- 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 %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-27T20:22:41.000Z",
"disabled": false,
"downloads": 365,
"gated": false,
"id": "CentIo/Cent1-1B",
"lastModified": "2026-09-27T21:42:26.000Z",
"library_name": "transformers",
"likes": 4,
"model-index": null,
"modelId": "CentIo/Cent1-1B",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F16": 1720574976
},
"total": 1720574976
},
"sha": "320671ce0f772885d46fcf574048f737727b6d50",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"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": [],
"tags": [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"tool-calling",
"function-calling",
"agent",
"financial",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 3452607946,
"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."
}
]
} | — | ||||||
| Base base | GGUF quantisations | CentIo/Cent1-1Breceipt
What the source handed over{
"_id": "6abae62a36f33cad7098b453",
"author": "mradermacher",
"cardData": {
"base_model": "CentIo/Cent1-1B",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"createdAt": "2026-09-28T22:11:54.000Z",
"downloads": 471,
"gated": false,
"id": "mradermacher/Cent1-1B-GGUF",
"lastModified": "2026-09-28T22:20:45.000Z",
"library_name": "transformers",
"likes": 0,
"modelId": "mradermacher/Cent1-1B-GGUF",
"private": false,
"sha": "1f688a5027c6f08292f4566143eaa4c177a3a989",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "Cent1-1B.IQ4_XS.gguf"
},
{
"rfilename": "Cent1-1B.Q2_K.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_L.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q6_K.gguf"
},
{
"rfilename": "Cent1-1B.Q8_0.gguf"
},
{
"rfilename": "Cent1-1B.f16.gguf"
},
{
"rfilename": "README.md"
}
],
"tags": [
"transformers",
"gguf",
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch",
"en",
"base_model:CentIo/Cent1-1B",
"base_model:quantized:CentIo/Cent1-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
]
} | — | ||||||
| Downloads downloads not compared | GGUF quantisations | 471receipt
What the source handed over{
"_id": "6abae62a36f33cad7098b453",
"author": "mradermacher",
"cardData": {
"base_model": "CentIo/Cent1-1B",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"createdAt": "2026-09-28T22:11:54.000Z",
"downloads": 471,
"gated": false,
"id": "mradermacher/Cent1-1B-GGUF",
"lastModified": "2026-09-28T22:20:45.000Z",
"library_name": "transformers",
"likes": 0,
"modelId": "mradermacher/Cent1-1B-GGUF",
"private": false,
"sha": "1f688a5027c6f08292f4566143eaa4c177a3a989",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "Cent1-1B.IQ4_XS.gguf"
},
{
"rfilename": "Cent1-1B.Q2_K.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_L.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q6_K.gguf"
},
{
"rfilename": "Cent1-1B.Q8_0.gguf"
},
{
"rfilename": "Cent1-1B.f16.gguf"
},
{
"rfilename": "README.md"
}
],
"tags": [
"transformers",
"gguf",
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch",
"en",
"base_model:CentIo/Cent1-1B",
"base_model:quantized:CentIo/Cent1-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
]
} | — | ||||||
| Downloads downloads not compared | Hugging Face models | 365receipt
What the source handed over{
"_asked": "CentIo/Cent1-1B",
"_id": "6ab97b119281fcce91aef171",
"author": "CentIo",
"cardData": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{%- 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 %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-27T20:22:41.000Z",
"disabled": false,
"downloads": 365,
"gated": false,
"id": "CentIo/Cent1-1B",
"lastModified": "2026-09-27T21:42:26.000Z",
"library_name": "transformers",
"likes": 4,
"model-index": null,
"modelId": "CentIo/Cent1-1B",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F16": 1720574976
},
"total": 1720574976
},
"sha": "320671ce0f772885d46fcf574048f737727b6d50",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"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": [],
"tags": [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"tool-calling",
"function-calling",
"agent",
"financial",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 3452607946,
"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."
}
]
} | — | ||||||
| Gated gated | Hugging Face models | falsereceipt
What the source handed over{
"_asked": "CentIo/Cent1-1B",
"_id": "6ab97b119281fcce91aef171",
"author": "CentIo",
"cardData": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{%- 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 %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-27T20:22:41.000Z",
"disabled": false,
"downloads": 365,
"gated": false,
"id": "CentIo/Cent1-1B",
"lastModified": "2026-09-27T21:42:26.000Z",
"library_name": "transformers",
"likes": 4,
"model-index": null,
"modelId": "CentIo/Cent1-1B",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F16": 1720574976
},
"total": 1720574976
},
"sha": "320671ce0f772885d46fcf574048f737727b6d50",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"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": [],
"tags": [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"tool-calling",
"function-calling",
"agent",
"financial",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 3452607946,
"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."
}
]
} | — | ||||||
| Licence licence | GGUF quantisations | apache-2.0receipt
What the source handed over{
"_id": "6abae62a36f33cad7098b453",
"author": "mradermacher",
"cardData": {
"base_model": "CentIo/Cent1-1B",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"createdAt": "2026-09-28T22:11:54.000Z",
"downloads": 471,
"gated": false,
"id": "mradermacher/Cent1-1B-GGUF",
"lastModified": "2026-09-28T22:20:45.000Z",
"library_name": "transformers",
"likes": 0,
"modelId": "mradermacher/Cent1-1B-GGUF",
"private": false,
"sha": "1f688a5027c6f08292f4566143eaa4c177a3a989",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "Cent1-1B.IQ4_XS.gguf"
},
{
"rfilename": "Cent1-1B.Q2_K.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_L.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q6_K.gguf"
},
{
"rfilename": "Cent1-1B.Q8_0.gguf"
},
{
"rfilename": "Cent1-1B.f16.gguf"
},
{
"rfilename": "README.md"
}
],
"tags": [
"transformers",
"gguf",
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch",
"en",
"base_model:CentIo/Cent1-1B",
"base_model:quantized:CentIo/Cent1-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
]
} | — | ||||||
| Licence licence | Hugging Face models | apache-2.0receipt
What the source handed over{
"_asked": "CentIo/Cent1-1B",
"_id": "6ab97b119281fcce91aef171",
"author": "CentIo",
"cardData": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{%- 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 %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-27T20:22:41.000Z",
"disabled": false,
"downloads": 365,
"gated": false,
"id": "CentIo/Cent1-1B",
"lastModified": "2026-09-27T21:42:26.000Z",
"library_name": "transformers",
"likes": 4,
"model-index": null,
"modelId": "CentIo/Cent1-1B",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F16": 1720574976
},
"total": 1720574976
},
"sha": "320671ce0f772885d46fcf574048f737727b6d50",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"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": [],
"tags": [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"tool-calling",
"function-calling",
"agent",
"financial",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 3452607946,
"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."
}
]
} | — | ||||||
| Likes likes not compared | GGUF quantisations | 0receipt
What the source handed over{
"_id": "6abae62a36f33cad7098b453",
"author": "mradermacher",
"cardData": {
"base_model": "CentIo/Cent1-1B",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"createdAt": "2026-09-28T22:11:54.000Z",
"downloads": 471,
"gated": false,
"id": "mradermacher/Cent1-1B-GGUF",
"lastModified": "2026-09-28T22:20:45.000Z",
"library_name": "transformers",
"likes": 0,
"modelId": "mradermacher/Cent1-1B-GGUF",
"private": false,
"sha": "1f688a5027c6f08292f4566143eaa4c177a3a989",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "Cent1-1B.IQ4_XS.gguf"
},
{
"rfilename": "Cent1-1B.Q2_K.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_L.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q3_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q4_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_M.gguf"
},
{
"rfilename": "Cent1-1B.Q5_K_S.gguf"
},
{
"rfilename": "Cent1-1B.Q6_K.gguf"
},
{
"rfilename": "Cent1-1B.Q8_0.gguf"
},
{
"rfilename": "Cent1-1B.f16.gguf"
},
{
"rfilename": "README.md"
}
],
"tags": [
"transformers",
"gguf",
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch",
"en",
"base_model:CentIo/Cent1-1B",
"base_model:quantized:CentIo/Cent1-1B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
]
} | — | ||||||
| Likes likes not compared | Hugging Face models | 4receipt
What the source handed over{
"_asked": "CentIo/Cent1-1B",
"_id": "6ab97b119281fcce91aef171",
"author": "CentIo",
"cardData": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{%- 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 %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-27T20:22:41.000Z",
"disabled": false,
"downloads": 365,
"gated": false,
"id": "CentIo/Cent1-1B",
"lastModified": "2026-09-27T21:42:26.000Z",
"library_name": "transformers",
"likes": 4,
"model-index": null,
"modelId": "CentIo/Cent1-1B",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F16": 1720574976
},
"total": 1720574976
},
"sha": "320671ce0f772885d46fcf574048f737727b6d50",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"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": [],
"tags": [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"tool-calling",
"function-calling",
"agent",
"financial",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 3452607946,
"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."
}
]
} | — | ||||||
| Task task | Hugging Face models | text-generationreceipt
What the source handed over{
"_asked": "CentIo/Cent1-1B",
"_id": "6ab97b119281fcce91aef171",
"author": "CentIo",
"cardData": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
"tool-calling",
"function-calling",
"agent",
"financial",
"qwen3",
"pytorch"
]
},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{%- 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 %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-27T20:22:41.000Z",
"disabled": false,
"downloads": 365,
"gated": false,
"id": "CentIo/Cent1-1B",
"lastModified": "2026-09-27T21:42:26.000Z",
"library_name": "transformers",
"likes": 4,
"model-index": null,
"modelId": "CentIo/Cent1-1B",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"F16": 1720574976
},
"total": 1720574976
},
"sha": "320671ce0f772885d46fcf574048f737727b6d50",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"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": [],
"tags": [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"tool-calling",
"function-calling",
"agent",
"financial",
"pytorch",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 3452607946,
"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
| CentIo/Cent1-1B zetlyn/models-hf · 2026-09-27 | author CentIo downloads 365 gated false licence apache-2.0 likes 4 task text-generation | source |
quantisation
| mradermacher/Cent1-1B-GGUF zetlyn/models-gguf · 2026-09-28 | author mradermacher base CentIo/Cent1-1B downloads 471 licence apache-2.0 likes 0 | source |