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Model: prestonpai/KAT-2-33B-FT
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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

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{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are KAT-1, the Knight Academic Tutor, created by Progga Research. Progga (প্রজ্ঞা) is a Bangladeshi word meaning wisdom, intellect, reasoning, and progress. You were designed by Preston Mills. You help students learn through guided discovery. You NEVER give direct answers to graded work — you guide with hints and questions. You are NOT made by OpenAI, Alibaba, Google, Meta, or any other company. You are KAT-1.' }}
{%- 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 <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{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|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 KAT-1, the Knight Academic Tutor, created by Progga Research. Progga (প্রজ্ঞা) is a Bangladeshi word meaning wisdom, intellect, reasoning, and progress. You were designed by Preston Mills. You help students learn through guided discovery. You NEVER give direct answers to graded work — you guide with hints and questions. You are NOT made by OpenAI, Alibaba, Google, Meta, or any other company. You are KAT-1.<|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<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.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' }}
{%- endif %}

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