commit 14cffe6a58b8796f3f0401d53b0ec8b8c47aafd9
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Thu May 21 02:18:12 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: phpcool/DeepSeek-R1-Distill-SRE-Qwen-7B
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/Modelfile b/Modelfile
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+# ollama modelfile auto-generated by llamafactory
+
+FROM .
+
+TEMPLATE """<｜begin▁of▁sentence｜>{{ if .System }}{{ .System }}{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<｜User｜>{{ .Content }}<｜Assistant｜>{{ else if eq .Role "assistant" }}{{ .Content }}<｜end▁of▁sentence｜>{{ end }}{{ end }}"""
+
+SYSTEM """您是站点可靠性工程师 (SRE)，精通系统可靠性、可扩展性和事件管理。请根据用户提供的具体输入，分析问题原因并提供针对性的解决方法，避免泛泛而谈或重复建议。
+"""
+
+PARAMETER stop "<｜end▁of▁sentence｜>"
+PARAMETER num_ctx 4096
diff --git a/README.md b/README.md
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+# DeepSeek-R1-Distill-SRE-Qwen-7B
+
+## 模型简介
+
+基于 DeepSeek 架构的 7B 参数量模型，经过 LoRA 微调，专为运维领域（Site Reliability Engineering, SRE）任务设计。它能够提供高可用性、稳定性相关的技术建议，并生成逐步分析过程，适用于服务器管理、集群优化和故障排查等场景，强化了以下三块能力：
+
+- 自动化脚本生成
+- 系统监控分析
+- 故障排查与根因定位
+
+## 模型概述
+
+- **基础模型**: `deepseek-ai/DeepSeek-R1-Distill-Qwen-7B`
+
+- **参数量**: 7B
+
+- **微调方法**: LoRA (Low-Rank Adaptation)
+
+- **训练数据**: SRE 领域数据集（约 18,236 条记录）,数据集地址：https://github.com/HC-Guo/OWL/tree/main/OWL-Instruct/data
+
+- **精度**: BF16 (Brain Floating Point 16)
+
+- **最大上下文长度**: 2048 tokens
+
+- **语言**: 中文（主要），支持部分英文输入
+
+- **发布日期**: 2025-03-02
+
+- **训练loss趋势变化**
+
+  ![training_loss](training_loss.png)
+
+
+## 评测结果
+
+下表对比了基模（deepseek-ai/DeepSeek-R1-Distill-Qwen-7B）和微调后模型在运维领域任务上的性能表现。微调使用 LoRA 方法，基于 SRE 领域数据集（约 18,236 条记录）进行优化。
+
+| **指标**                  | **基模结果** | **微调后结果** | **提升项说明**                                                                 |
+|---------------------------|--------------|----------------|--------------------------------------------------------------------------------|
+| **predict_bleu-4**        | 4.52         | 13.54          | BLEU-4 衡量生成文本与参考答案的 4-gram 精确匹配度。提升约 199%，表明微调后模型生成的回答与参考答案在短语级别更加一致，准确性显著提高。 |
+| **predict_rouge-1**       | 23.60        | 39.40          | ROUGE-1 衡量单字重叠率。提升约 67%，表明词汇级别的匹配度大幅改善，模型生成内容更贴近参考答案的用词。 |
+| **predict_rouge-2**       | 5.84         | 22.07          | ROUGE-2 衡量双字重叠率。提升约 278%，表明短语和句子结构的相似性显著增强，生成文本更具连贯性。 |
+| **predict_rouge-l**       | 9.91         | 23.63          | ROUGE-L 衡量最长公共子序列，反映句子结构相似性。提升约 138%，表明微调后模型在整体回答结构上更接近参考答案。 |
+| **predict_model_preparation_time** | 0.0033 | 0.0032   | 模型准备时间（秒），微调后略减 0.0001 秒，变化微小，表明模型加载效率基本不变。               |
+| **predict_runtime**       | 1325.61      | 878.39         | 推理总耗时（秒）。减少约 34%（447.22 秒），表明微调后推理速度加快，可能是优化了生成效率或减少了冗余计算。 |
+| **predict_samples_per_second** | 0.377 | 0.57      | 每秒处理样本数。提升约 51%，反映推理吞吐量提高，模型处理效率显著增强。                   |
+| **predict_steps_per_second** | 0.094 | 0.096   | 每秒推理步数。提升约 2%，变化较小，可能是推理步长未显著优化，但整体效率仍受益于 runtime 改进。 |
+
+### 指标说明
+
+- **BLEU-4**：计算生成文本与参考文本的 4-gram 精确匹配度，分数范围 0-100，值越高表示短语级匹配越好。
+- **ROUGE-1**：衡量单字（unigram）重叠率，分数范围 0-100，反映词汇级相似性。
+- **ROUGE-2**：衡量双字（bigram）重叠率，分数范围 0-100，反映短语级相似性。
+- **ROUGE-L**：衡量最长公共子序列（LCS），分数范围 0-100，反映句子结构相似性。
+- **predict_model_preparation_time**：模型加载和准备的耗时（秒），值越低表示启动越快。
+- **predict_runtime**：推理总耗时（秒），值越低表示生成速度越快。
+- **predict_samples_per_second**：每秒处理的样本数，值越高表示吞吐量越高。
+- **predict_steps_per_second**：每秒推理步数，值越高表示单步效率越高。
+
+### 结论
+微调后的 `DeepSeek-R1-Distill-SRE-Qwen-7B` 在生成质量和推理效率上均有显著提升，尤其在运维领域的结构化回答能力上表现优异。推荐用于高可用性集群设计、服务器优化等场景。
+
+- **下载方式**:  
+### SDK下载：
+  ```bash
+#安装ModelScope
+pip install modelscope
+
+#SDK模型下载
+from modelscope import snapshot_download
+model_dir = snapshot_download('phpcool/DeepSeek-R1-Distill-SRE-Qwen-7B')
+  ```
+### Git下载
+```bash
+#Git模型下载
+git clone https://www.modelscope.cn/phpcool/DeepSeek-R1-Distill-SRE-Qwen-7B.git
+```
+---
+
+## 如何使用模型进行推理
+
+本模型支持高效推理，已验证兼容 `vLLM` 和 `SGLang` 框架，以下提供vLLM使用示例(推荐)。
+
+
+### 1. 使用 SGLang 进行推理
+`SGLang` 是一个高性能服务框架，适合复杂运维任务的快速推理。
+
+#### 环境准备
+```bash
+pip install sglang
+```
+
+#### 启动 SGLang 服务
+```bash
+vllm serve /root/autodl-tmp/model/outputs/deepseek-ai/DeepSeek-R1-Distill-SRE-Qwen-7B --tensor-parallel-size 1 --max-model-len 2048 --enforce-eager
+```
+
+#### Python 推理示例
+```python
+from openai import OpenAI
+
+client = OpenAI(api_key="EMPTY", base_url="http://localhost:8000/v1")
+
+response = client.chat.completions.create(
+    model="/path/to/DeepSeek-R1-Distill-SRE-Qwen-7B",
+    messages=[
+        {"role": "system", "content": "你是一位智能运维助手"},
+        {"role": "user", "content": "如何优化服务器的存储性能以提高数据读写速度？"}
+    ],
+    max_tokens=1500,
+    temperature=0.7,
+    stop=["<|end>"]
+)
+print(response.choices[0].message.content.strip())
+```
+
+---
+
+## 使用场景
+
+- **自动化运维**: 生成脚本、配置管理。
+- **系统监控**: 分析指标、生成告警规则。
+- **故障排查**: 日志解析、根因分析。
+
+该模型在 SRE 和 DevOps 场景中表现出色，尤其适合需要快速响应和资源优化的企业级应用。
+
+---
+
+## 社区贡献
+
+由于当前文档信息有限，我们鼓励社区参与：
+- 在 modelscope.cn 中的【交流反馈】提出问题、使用案例或改进建议。
+- 提交 Pull Request 以补充模型细节、优化推理代码或分享运维相关的 Prompt 示例。
+
+感谢你的使用与支持！如果有任何问题，请随时联系，微信：yorkoliu  邮件：liutiansi@gmail.com。
+
+---
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diff --git a/config.json b/config.json
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+++ b/config.json
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+{
+  "_name_or_path": "/root/autodl-tmp/dataroot/models/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}
diff --git a/configuration.json b/configuration.json
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+{"task":"other"}
\ No newline at end of file
diff --git a/generation_config.json b/generation_config.json
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--- /dev/null
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+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "do_sample": true,
+  "eos_token_id": 151643,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.49.0"
+}
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diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000..1d385d6
--- /dev/null
+++ b/special_tokens_map.json
@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000..1a2db24
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000..182aa13
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,197 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151645": {
+      "content": "<｜Assistant｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151646": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151648": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151649": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}
diff --git a/training_loss.png b/training_loss.png
new file mode 100644
index 0000000..f851cf1
Binary files /dev/null and b/training_loss.png differ