初始化项目，由ModelHub XC社区提供模型

Model: prestonpai/KAT-2-33B-FT
Source: Original Platform

README.md

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+---
+language:
+- en
+tags:
+- dpo
+- tutoring
+- academic-integrity
+- kat
+base_model: progga-ai/KAT-2-33B-BASE
+pipeline_tag: text-generation
+model-index:
+- name: KAT-2-33B-FT
+  results: []
+---
+
+# KAT-2-33B-FT — Academic Tutor with DPO Alignment
+
+**Knight Academic Tutor (KAT)** — A 33B parameter language model fine-tuned with Direct Preference Optimization (DPO) for academic tutoring with enforced integrity with ≥90% reward accuracy.
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| **Architecture** | Qwen2ForCausalLM + Abigail |
+| **Base Model** | progga-ai/KAT-2-33B-BASE |
+| **Training Method** | DPO (Direct Preference Optimization) |
+| **Precision** | BF16 |
+| **Context Length** | 32,768 tokens |
+| **Training Data** | 42,610 preference pairs |
+
+## Training Configuration
+
+- **Learning Rate**: 5e-6
+- **DPO Beta**: 0.3
+- **Epochs**: 3 (best checkpoint at epoch 2.25)
+- **LoRA Rank**: 64, Alpha: 128
+- **Effective Batch Size**: 32
+- **Max Sequence Length**: 2048
+- **Hardware**: 2× NVIDIA B200 (Blackwell)
+- **Training Time**: 9 hours 31 minutes (3996 steps)
+
+## Evaluation Results
+
+| Metric | Value |
+|--------|-------|
+| **Eval Reward Accuracy** | 89.6% (vs 69% base) |
+| **Eval Loss** | 0.250 |
+| **Eval Reward Margin** | 4.58 |
+| **Improvement over base** | +20.6 percentage points |
+
+## Key Behaviors
+
+1. **Academic Integrity**: Refuses to complete graded work; provides hints and guidance instead
+2. **Socratic Tutoring**: Asks students to attempt problems first before offering help
+3. **Graduated Hints**: Escalates from minimal hints to more detailed guidance based on student effort
+4. **Misconception Diagnosis**: Identifies and addresses specific conceptual gaps
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("progga-ai/KAT-2-DPO-32B")
+tokenizer = AutoTokenizer.from_pretrained("progga-ai/KAT-2-DPO-32B")
+
+messages = [
+    {"role": "system", "content": "You are KAT, an academic tutor. Help students learn without giving direct answers."},
+    {"role": "user", "content": "Can you solve this integral for me? ∫x²eˣ dx"}
+]
+
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, top_p=0.9)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Part of the KAT Project
+
+KAT is a verifiable, FERPA-compliant, fail-closed academic tutoring system built with governance-first architecture. The DPO alignment is one layer of a multi-layer integrity enforcement system.
+
+- **Author**: Preston Mills
+- **Organization**: Progga AI
+- **Date**: February 2026