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Model: rae-jax/cie-auditor-final
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+tags:
+- text-generation
+- fine-tuned
+- compliance
+- cybersecurity
+- grc
+- auditing
+- unsloth
+- mistral
+- dpo
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# 🛡️ CIE Auditor — Enterprise GRC Compliance AI
+
+A custom fine-tuned and DPO-aligned version of **Mistral 7B Instruct**, trained to function as a **Senior IT Compliance Auditor**. Feed it a security incident or corporate scenario, and it produces a structured, board-ready **9-Part Audit Report** in seconds.
+
+> Tested against real-world breaches including Capital One (2019), Equifax (2017), and Uber (2022) — correctly identifying root causes, violated controls, and remediation steps.
+
+---
+
+## 🚀 What Makes This Different
+
+This is **not** a ChatGPT wrapper or a prompt-engineered chatbot. The model weights themselves were modified using two phases of training:
+
+1. **Supervised Fine-Tuning (SFT):** Trained on a custom JSONL dataset of real compliance frameworks including ISO 27001, SOC 2 Type II, GDPR, PCI-DSS, HIPAA, and NIST CSF. The model learned to map any security scenario to the correct regulatory controls.
+
+2. **Direct Preference Optimization (DPO):** Constitutional AI alignment was applied to enforce auditor-grade behavior. The model was trained to:
+   - ✅ Always flag `INSUFFICIENT EVIDENCE` when data is missing instead of speculating
+   - ✅ Escalate critical findings to board level
+   - ✅ Refuse to act like a chatbot or provide conversational responses
+   - ✅ Maintain a strict, formal auditor persona at all times
+
+---
+
+## 📋 Output Format
+
+Every response follows a strict 9-part structure:
+
+```
+1. Executive Summary
+2. Audit Scope
+3. Controls Violated
+4. Finding
+5. Impact
+6. Remediation Steps
+7. Risk Assessment
+8. Audit Recommendations
+9. Management Review
+
+INSUFFICIENT EVIDENCE to determine: [flagged unknowns]
+Next Steps: [actionable items]
+```
+
+---
+
+## 💻 Quick Start
+
+```python
+from unsloth import FastLanguageModel
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "rae-jax/cie-auditor-final",
+    max_seq_length = 2048,
+    dtype = None,
+    load_in_4bit = True,
+)
+FastLanguageModel.for_inference(model)
+
+messages = [
+    {
+        "role": "system",
+        "content": "You are a Senior Compliance Auditor. Assess the scenario and output a highly structured 9-part compliance audit report. If evidence is insufficient, state INSUFFICIENT EVIDENCE."
+    },
+    {
+        "role": "user",
+        "content": "An attacker exploited a misconfigured ModSecurity WAF via SSRF to extract temporary IAM credentials from the AWS EC2 metadata service, gaining access to an S3 bucket containing the PII of 100 million customers."
+    }
+]
+
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to("cuda")
+
+outputs = model.generate(
+    input_ids=inputs,
+    max_new_tokens=1024,
+    temperature=0.1,
+    top_p=0.9
+)
+
+print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))
+```
+
+---
+
+## 🧪 Example Scenarios to Try
+
+**Cloud Misconfiguration:**
+> *"Our AWS S3 bucket was left publicly accessible for 12 months, exposing 400GB of customer PII and proprietary product designs."*
+
+**Social Engineering + PAM Compromise:**
+> *"An attacker bypassed MFA using push notification fatigue on a contractor. They then found hardcoded PAM credentials in a PowerShell script on an internal network share, gaining full control of AWS, GCP, and Slack."*
+
+**Unpatched Vulnerability:**
+> *"Attackers exploited CVE-2017-5638 in Apache Struts. The patch had been available for 2 months but was not applied. The attackers maintained access for 76 days and exfiltrated SSNs for 147 million people."*
+
+---
+
+## 🏗️ Training Details
+
+| Parameter | Value |
+|---|---|
+| Base Model | `mistralai/Mistral-7B-Instruct-v0.2` |
+| Training Framework | Unsloth + TRL |
+| SFT Dataset | Custom JSONL (ISO 27001, SOC 2, GDPR, PCI-DSS, HIPAA, NIST CSF) |
+| DPO Alignment | Constitutional AI pairs (chosen vs rejected) |
+| Quantization | 4-bit (LoRA adapters merged into full weights) |
+| Hardware | Kaggle T4 GPU (Free Tier) |
+| Context Length | 2048 tokens |
+
+---
+
+## ⚠️ Intended Use
+
+This model is designed for:
+- 🎓 Educational and portfolio demonstration purposes
+- 🔬 Research into Constitutional AI and compliance automation
+- 🏢 Prototyping GRC tooling and compliance assistants
+
+This model is **not** a substitute for certified compliance professionals (CISA, CISSP, CPA). Always have findings reviewed by qualified auditors before acting on them.
+
+---
+
+## 📄 License
+
+Apache 2.0 — Free to use, modify, and distribute with attribution.
+
+---
+
+*Built with ❤️ using [Unsloth](https://github.com/unslothai/unsloth)*

chat_template.jinja

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+{%- if messages[0]["role"] == "system" %}
+    {%- set system_message = messages[0]["content"] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
+
+{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
+{%- set ns = namespace() %}
+{%- set ns.index = 0 %}
+{%- for message in loop_messages %}
+    {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
+        {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
+            {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
+        {%- endif %}
+        {%- set ns.index = ns.index + 1 %}
+    {%- endif %}
+{%- endfor %}
+
+{{- bos_token }}
+{%- for message in loop_messages %}
+    {%- if message["role"] == "user" %}
+        {%- if tools is not none and (message == user_messages[-1]) %}
+            {{- "[AVAILABLE_TOOLS] [" }}
+            {%- for tool in tools %}
+                {%- set tool = tool.function %}
+                {{- '{"type": "function", "function": {' }}
+                {%- for key, val in tool.items() if key != "return" %}
+                    {%- if val is string %}
+                        {{- '"' + key + '": "' + val + '"' }}
+                    {%- else %}
+                        {{- '"' + key + '": ' + val|tojson }}
+                    {%- endif %}
+                    {%- if not loop.last %}
+                        {{- ", " }}
+                    {%- endif %}
+                {%- endfor %}
+                {{- "}}" }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- else %}
+                    {{- "]" }}
+                {%- endif %}
+            {%- endfor %}
+            {{- "[/AVAILABLE_TOOLS]" }}
+            {%- endif %}
+        {%- if loop.last and system_message is defined %}
+            {{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
+        {%- else %}
+            {{- "[INST] " + message["content"] + "[/INST]" }}
+        {%- endif %}
+    {%- elif message.tool_calls is defined and message.tool_calls is not none %}
+        {{- "[TOOL_CALLS] [" }}
+        {%- for tool_call in message.tool_calls %}
+            {%- set out = tool_call.function|tojson %}
+            {{- out[:-1] }}
+            {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
+                {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+            {%- endif %}
+            {{- ', "id": "' + tool_call.id + '"}' }}
+            {%- if not loop.last %}
+                {{- ", " }}
+            {%- else %}
+                {{- "]" + eos_token }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif message["role"] == "assistant" %}
+        {{- " " + message["content"]|trim + eos_token}}
+    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
+        {%- if message.content is defined and message.content.content is defined %}
+            {%- set content = message.content.content %}
+        {%- else %}
+            {%- set content = message.content %}
+        {%- endif %}
+        {{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
+        {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
+            {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+        {%- endif %}
+        {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
+    {%- else %}
+        {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
+    {%- endif %}
+{%- endfor %}

config.json

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+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "torch_dtype": "float16",
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "pad_token_id": 770,
+    "rms_norm_eps": 1e-05,
+    "rope_parameters": {
+        "rope_theta": 1000000.0,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.6.1",
+    "use_cache": true,
+    "vocab_size": 32768
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 32768,
+  "pad_token_id": 770,
+  "transformers_version": "5.5.0"
+}

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