初始化项目，由ModelHub XC社区提供模型

Model: scgsai/NetworkExpert
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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Modelfile

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+# ollama modelfile auto-generated by llamafactory
+
+FROM .
+
+TEMPLATE """{{ if .System }}<|im_start|>system
+{{ .System }}<|im_end|>
+{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|im_start|>user
+{{ .Content }}<|im_end|>
+<|im_start|>assistant
+{{ else if eq .Role "assistant" }}{{ .Content }}<|im_end|>
+{{ end }}{{ end }}"""
+
+PARAMETER stop "<|im_end|>"
+PARAMETER num_ctx 4096

README.MD

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+# NetworkExpert 网络专家模型
+
+[![ModelScope](https://img.shields.io/badge/ModelScope-网络专家模型-blue)](https://modelscope.cn/models/your-username/netexpert-7b)
+[![License](https://img.shields.io/badge/License-Apache--2.0-green.svg)](LICENSE)
+[![Python](https://img.shields.io/badge/Python-3.8%2B-blue)](https://www.python.org/)
+
+**面向网络运维与故障诊断的领域专家大模型**
+
+---
+
+## 模型简介
+
+NetworkExpert 是基于 [Qwen2.5-7B](https://modelscope.cn/models/qwen/Qwen2.5-7B-Instruct) 微调的网络领域专家模型，专注于企业网络运维场景。经过数十万条网络配置、故障案例和技术文档的训练，模型具备以下核心能力：
+
+- 🔧 **配置解析**：自动识别 Cisco、华为、H3C 等主流厂商配置文件
+- 🚨 **故障诊断**：基于日志和现象进行根因分析与解决方案推荐  
+- 💻 **命令生成**：根据需求生成标准配置命令及脚本
+- 📚 **知识问答**：解答网络协议、架构设计、最佳实践等问题
+- 🛡️ **合规检查**：识别配置中的安全风险与潜在隐患
+
+---
+
+## 模型效果演示
+
+### 场景1：故障诊断
+**用户输入：**
+问题：TCP交易无响应次数是什么意思？
+回复：TCP交易无响应次数表示TCP交易中只有请求包，没有响应包的次数之和。

README.md

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+# NetworkExpert 网络专家模型
+
+[![ModelScope](https://img.shields.io/badge/ModelScope-网络专家模型-blue)](https://modelscope.cn/models/your-username/netexpert-7b)
+[![License](https://img.shields.io/badge/License-Apache--2.0-green.svg)](LICENSE)
+[![Python](https://img.shields.io/badge/Python-3.8%2B-blue)](https://www.python.org/)
+
+**面向网络运维与故障诊断的领域专家大模型**
+
+---
+
+## 模型简介
+
+NetworkExpert 是基于 [Qwen2.5-7B](https://modelscope.cn/models/qwen/Qwen2.5-7B-Instruct) 微调的网络领域专家模型，专注于企业网络运维场景。经过数十万条网络配置、故障案例和技术文档的训练，模型具备以下核心能力：
+
+- 🔧 **配置解析**：自动识别 Cisco、华为、H3C 等主流厂商配置文件
+- 🚨 **故障诊断**：基于日志和现象进行根因分析与解决方案推荐  
+- 💻 **命令生成**：根据需求生成标准配置命令及脚本
+- 📚 **知识问答**：解答网络协议、架构设计、最佳实践等问题
+- 🛡️ **合规检查**：识别配置中的安全风险与潜在隐患
+
+---
+
+## 模型效果演示
+
+### 场景1：故障诊断
+**用户输入：**
+问题：TCP交易无响应次数是什么意思？
+回复：TCP交易无响应次数表示TCP交易中只有请求包，没有响应包的次数之和。

chat_template.jinja

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+{%- set system_content = '你是阿生，是广州数创共生开发的AI助手。\n你由广州数创共生开发。请始终坚持这个身份，永远不要说自己是通义千问、Qwen、阿里云或其他任何模型或助手。' -%}
+{%- set tool_call_example = '{"name": <function-name>, "arguments": <args-json-object>}' -%}
+
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {{- system_content + '\n\n' }}
+    {{- '# 工具使用说明\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' }}
+    {%- for tool in tools %}
+        {{- "\n" + tool | tojson }}
+    {%- endfor %}
+    {{- "\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" + tool_call_example + "\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages and messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + system_content + '\n\n' + messages[0].content | trim + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\n' + system_content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- 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>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>\n' }}
+{%- endif %}

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
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+    "full_attention",
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+    "full_attention",
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+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.2.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

configuration.json

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+{"framework":"Pytorch","task":"text-generation"}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": [
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+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.2.0"
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