Initial import from Nanbeige/Nanbeige4.1-3B with updated model card

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Nanbeige4.1-3B-Report.pdf

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README.md

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+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/YF0kEDYMGJhcM3Lbl2EOD.png" alt="logo" width="250">
+</p>
+
+<p align="center">
+  <b>A powerful 3B general-purpose reasoning model built for strong multi-domain performance and long-chain reasoning.</b>
+</p>
+
+---
+
+## Description
+
+This model is a **3B-parameter AI designed for general-purpose, reasoning-focused tasks**, with a strong emphasis on improving **multi-domain reasoning** across code, mathematics, science, and complex knowledge tasks. It is optimized for handling **long chains of thought**, enabling more structured, accurate, and reliable reasoning over difficult problems.
+
+Despite its compact size, the model achieves **strong benchmark performance**, making it an efficient choice for users who want a balance between reasoning quality, versatility, and deployability.
+
+## Key Features
+
+- **3B parameters** for an efficient balance of capability and usability  
+- **General-purpose reasoning** across multiple domains  
+- Strong performance in **code, math, science, and knowledge-intensive tasks**  
+- Optimized for **long-chain reasoning** and complex problem solving  
+- Designed to deliver **competitive benchmark results** despite its small size  
+
+## Benchmarks
+
+| Benchmark                | OrionLLM/GRM2-3b | Qwen/Qwen3-32B | Qwen/Qwen3.5-4B | Qwen/Qwen3.5-9B |
+|--------------------------|------------------|----------------|-----------------|-----------------|
+| LiveCodeBench v6         | **76.9**         | 55.7           | 55.8            | 65.6            |
+| HMMT Nov 25              | 77.92            | 57.08          | 76.8            | **82.9**        |
+| GPQA / GPQA Diamond      | **83.8**         | 68.4           | 76.2            | 81.7            |
+| MultiChallenge           | 52.21            | 38.72          | 49.0            | **54.5**        |
+| AIME 2026                | 87.40            | 75.83          | N/D             | **92.50**       |

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+}

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|endoftext|>"
+  ],
+  "bos_token": {
+    "content": "<|im_start|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<unk>",
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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+oid sha256:1d8f0326910136aca20831249220b38ce5299527647bc8c6b65404485c479740
+size 18451122

tokenizer.model

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+size 2782298

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "</s>",
+      "lstrip": false,
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+      "single_word": false,
+      "special": true
+    },
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    },
+    "166101": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "166103": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "</think>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
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+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "166106": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|endoftext|>"
+  ],
+  "bos_token": "<|im_start|>",
+  "chat_template": "\n        {%- if tools %}\n            {{- '<|im_start|>system\n' }}\n            {%- if messages[0].role == 'system' %}\n                {{- messages[0].content + '\n\n' }}\n            {%- else %} \n                {{- '你是一位工具函数调用专家，你会得到一个问题和一组可能的工具函数。根据问题，你需要进行一个或多个函数/工具调用以实现目的，请尽量尝试探索通过工具解决问题。\n如果没有一个函数可以使用，请直接使用自然语言回复用户。\n如果给定的问题缺少函数所需的参数，请使用自然语言进行提问，向用户询问必要信息。\n如果调用结果已经足够回答用户问题，请对历史结果进行总结，使用自然语言回复用户。' }} \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            {%- else %} \n                {{- '<|im_start|>system\n你是南北阁，一款由BOSS直聘自主研发并训练的专业大语言模型。<|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 or keep_all_think or (extra_body is defined and extra_body.keep_all_think) %}\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        {%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

tokenizer_config_search.json

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+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
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+      "special": true
+    },
+    "166100": {
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+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "166106": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\n你是南北阁，一款由BOSS直聘自主研发并训练的专业大语言模型。<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if (add_generation_prompt is defined and add_generation_prompt) %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}