From 7dadf5c0c8778e2df36182a9a7453da26efb3baf Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 3 Aug 2026 19:01:16 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: sallani/ISO27001-Qwen2.5-0.5B-Edge Source: Original Platform --- .gitattributes | 37 ++++ README.md | 188 +++++++++++++++++++ chat_template.jinja | 54 ++++++ config.json | 30 +++ generation_config.json | 14 ++ iso27001-qwen2.5-0.5b-q4_k_m.gguf | 3 + model.safetensors | 3 + model.safetensors.index.json | 298 ++++++++++++++++++++++++++++++ tokenizer.json | 3 + tokenizer_config.json | 31 ++++ 10 files changed, 661 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 iso27001-qwen2.5-0.5b-q4_k_m.gguf create mode 100644 model.safetensors create mode 100644 model.safetensors.index.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..f5a6696 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +iso27001-qwen2.5-0.5b-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..02e3160 --- /dev/null +++ b/README.md @@ -0,0 +1,188 @@ +--- +license: apache-2.0 +license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE +language: +- fr +- en +pipeline_tag: text-generation +base_model: Qwen/Qwen2.5-0.5B-Instruct +tags: +- iso27001 +- cybersecurity +- isms +- compliance +- grc +- information-security +- audit +- fine-tuned +- qlora +- mlx +- gguf +- on-premise +--- + +
+ +# πŸ” ISO27001-Qwen2.5-0.5B-Edge + +**ISO 27001:2022 fine-tuned SLM β€” on-premise, offline, sovereign** + +[![Base Model](https://img.shields.io/badge/base-Qwen2.5--0.5B--Instruct-orange?style=flat-square)](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) +[![License](https://img.shields.io/badge/license-Apache%202.0-green?style=flat-square)](LICENSE) +[![Lang](https://img.shields.io/badge/lang-FR%20%7C%20EN-blue?style=flat-square)]() +[![GGUF](https://img.shields.io/badge/GGUF-Q4__K__M-purple?style=flat-square)]() + +
+ +--- + +## About + +A specialized AI agent for **ISO/IEC 27001:2022** and **ISO/IEC 27002:2022**, designed to run entirely **on-premise and offline** β€” no data ever leaves your infrastructure. + +Fine-tuned on 199 Q&A pairs covering the full ISO 27001:2022 requirements: clauses 4-10, all 93 Annex A controls, gap assessment, audit preparation, and regulatory alignment with NIS2, DORA, and GDPR. + +--- + +## Use Cases + +- πŸ” **ISMS Gap Assessment** β€” maturity evaluation, non-conformity identification +- πŸ“‹ **ISO 27001 Audit Support** β€” clauses, Annex A controls, expected audit evidence +- πŸ›‘οΈ **CISO / DPO Advisory** β€” risk management, risk treatment plan, Statement of Applicability +- πŸ“„ **Certification Preparation** β€” auditor checklist, mandatory documentation +- πŸ”— **Regulatory Alignment** β€” NIS2, DORA, GDPR, ISO 42001 mapped to ISO 27001 + +--- + +## Quick Start + +### Ollama (recommended) + +```bash +# Download the Modelfile +curl -O https://huggingface.co/sallani/ISO27001-Qwen2.5-0.5B-Edge/resolve/main/Modelfile + +# Create and run +ollama create iso27001-agent -f Modelfile +ollama run iso27001-agent +``` + +### llama.cpp + +```bash +llama-cli \ + -m iso27001-qwen2.5-0.5b-q4_k_m.gguf \ + --chat-template qwen \ + -p "What are the mandatory documents required by ISO 27001:2022?" \ + -n 512 +``` + +### Python / transformers + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_id = "sallani/ISO27001-Qwen2.5-0.5B-Edge" +tokenizer = AutoTokenizer.from_pretrained(model_id) +model = AutoModelForCausalLM.from_pretrained(model_id) + +messages = [ + { + "role": "system", + "content": "You are an ISO 27001:2022 Lead Auditor and ISMS expert. Your answers are precise, actionable, and referenced to specific clauses and controls." + }, + { + "role": "user", + "content": "What are the mandatory documents required by ISO 27001:2022?" + } +] + +text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) +inputs = tokenizer(text, return_tensors="pt") +outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7) +print(tokenizer.decode(outputs[0], skip_special_tokens=True)) +``` + +### MLX β€” Apple Silicon + +```bash +pip install mlx-lm + +python -m mlx_lm.generate \ + --model sallani/ISO27001-Qwen2.5-0.5B-Edge \ + --prompt "What is the Statement of Applicability in ISO 27001?" \ + --max-tokens 512 +``` + +--- + +## Available Files + +| File | Format | Size | Usage | +|------|--------|------|-------| +| `model.safetensors` | SafeTensors FP16 | ~988 MB | transformers, MLX | +| `iso27001-qwen2.5-0.5b-q4_k_m.gguf` | GGUF Q4_K_M | ~398 MB | Ollama, llama.cpp | +| `tokenizer.json` | JSON | β€” | tokenization | +| `config.json` | JSON | β€” | architecture | +| `Modelfile` | Ollama | β€” | local deployment | + +--- + +## Model Details + +| Parameter | Value | +|-----------|-------| +| Architecture | Qwen2.5 Transformer decoder | +| Parameters | 0.5B | +| Base model | `Qwen/Qwen2.5-0.5B-Instruct` | +| Fine-tuning method | QLoRA / LoRA via MLX-LM | +| LoRA layers | 4 | +| Learning rate | 1e-4 | +| Iterations | 150 | +| Batch size | 8 | +| Max sequence length | 1,024 tokens | +| Max context | 32,768 tokens | +| GGUF quantization | Q4_K_M (~398 MB) | +| Languages | French πŸ‡«πŸ‡· + English πŸ‡¬πŸ‡§ | + +--- + +## Training Dataset + +Fine-tuned on **[sallani/iso27001-isms-dataset](https://huggingface.co/datasets/sallani/iso27001-isms-dataset)** β€” 199 unique Q&A pairs (159 train / 40 test). + +Coverage: +- Clauses 4-10 (all mandatory ISMS requirements) +- All 93 Annex A controls across 4 themes: Organisational, People, Physical, Technological +- All 11 new ISO 27001:2022 controls (threat intelligence, cloud security, secure coding, DLP, data masking…) +- Gap assessment methodology and ISMS maturity levels +- Practical scenarios: ransomware response, NIS2/DORA alignment, Zero Trust, AI/ISO 42001 +- Bilingual FR/EN with Lead Auditor system prompt + +--- + +## Limitations + +- **0.5B parameter model** β€” reasoning capabilities are limited compared to larger models (>7B) +- **Does not replace** a professional ISO 27001 audit or a certified Lead Auditor +- Answers should be **validated by an expert** before use in a real audit context +- Knowledge is limited to the fine-tuning date + +--- + +## License + +Apache 2.0 β€” same license as the base model [Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE). + +--- + +## Citation + +```bibtex +@model{iso27001_qwen25_edge_2025, + title = {ISO27001-Qwen2.5-0.5B-Edge}, + author = {Sabri Allani}, + year = {2025}, + url = {https://huggingface.co/sallani/ISO27001-Qwen2.5-0.5B-Edge} +} +``` \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..bdf7919 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,54 @@ +{%- if tools %} + {{- '<|im_start|>system\n' }} + {%- if messages[0]['role'] == 'system' %} + {{- messages[0]['content'] }} + {%- else %} + {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }} + {%- endif %} + {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }} + {%- for tool in tools %} + {{- "\n" }} + {{- tool | tojson }} + {%- endfor %} + {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0]['role'] == 'system' %} + {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} + {%- else %} + {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {{- '<|im_start|>' + message.role }} + {%- if message.content %} + {{- '\n' + message.content }} + {%- endif %} + {%- for tool_call in message.tool_calls %} + {%- if tool_call.function is defined %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {{- tool_call.arguments | tojson }} + {{- '}\n' }} + {%- endfor %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- 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