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

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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

chat_template.jinja

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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 %}

config.json

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+  "architectures": [
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+  ],
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+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 27648,
+  "layer_types": [
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+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
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+  "tie_word_embeddings": false,
+  "transformers_version": "5.2.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": [
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+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.2.0"
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