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Model: PraneetNS/EduMentor-Qwen3-4B-v2-FP16
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+base_model: PraneetNS/EduMentor-Qwen3-4B-FP16
+tags:
+- qwen3
+- education
+- engineering
+- mentor
+- llm
+- conversational
+- multimodal
+- speech
+- json
+- fine-tuned
+---
+
+# EduMentor Qwen3 4B v2 (FP16)
+
+EduMentor v2 is the second major release of EduMentor, an AI engineering mentor built for university students.
+
+The model is designed to provide conversational technical guidance, placement preparation, project mentoring, and structured educational responses across multiple engineering disciplines.
+
+Unlike a generic chatbot, EduMentor is optimized for voice-first tutoring systems where spoken explanations are separated from visual artifacts such as code, diagrams, roadmaps, tables, and notes.
+
+---
+
+# Highlights
+
+## New in Version 2
+
+Compared to EduMentor v1, this release includes:
+
+- Fine-tuned on an expanded multi-turn engineering conversation dataset (~27K conversations).
+- Improved contextual follow-up handling.
+- Better conversational flow for tutoring sessions.
+- Stronger identity consistency as EduMentor.
+- Improved reasoning across Computer Science and core engineering subjects.
+- Enhanced placement and career guidance.
+- Better structured JSON responses for multimodal applications.
+- Verified merged FP16 checkpoint (no LoRA dependency).
+
+---
+
+# Model Information
+
+| Property | Value |
+|----------|-------|
+| Base Model | EduMentor-Qwen3-4B-FP16 (v1) |
+| Architecture | Qwen3-4B |
+| Fine-tuning | Supervised Fine-Tuning (LoRA) |
+| Merge | Fully merged FP16 |
+| Context Length | 4096 tokens |
+| Precision | FP16 |
+| Intended Use | Engineering Mentor |
+
+---
+
+# Training Dataset
+
+EduMentor v2 was trained on approximately 27,000 carefully curated multi-turn conversations covering engineering education.
+
+The dataset emphasizes:
+
+- realistic mentor-student interactions
+- conceptual teaching
+- problem solving
+- project guidance
+- interview preparation
+- career mentoring
+- emotional encouragement
+- structured responses
+
+The conversations include contextual follow-up questions to simulate natural tutoring sessions.
+
+---
+
+# Supported Domains
+
+## Computer Science
+
+- Programming Fundamentals
+- Object Oriented Programming
+- Data Structures
+- Algorithms
+- Operating Systems
+- DBMS
+- Computer Networks
+- Software Engineering
+
+---
+
+## Artificial Intelligence
+
+- Machine Learning
+- Deep Learning
+- Neural Networks
+- LLMs
+- Transformers
+- RAG
+- Prompt Engineering
+- AI Deployment
+
+---
+
+## Electronics
+
+- Digital Electronics
+- Analog Electronics
+- Signals
+- Communication
+- Embedded Systems
+- Microprocessors
+
+---
+
+## Electrical Engineering
+
+- Machines
+- Power Systems
+- Control Systems
+- Power Electronics
+
+---
+
+## Mechanical Engineering
+
+- Thermodynamics
+- Manufacturing
+- Design
+- Strength of Materials
+- Fluid Mechanics
+
+---
+
+## Civil Engineering
+
+- RCC
+- Structural Engineering
+- Surveying
+- Transportation
+- Environmental Engineering
+
+---
+
+## Mathematics
+
+- Calculus
+- Linear Algebra
+- Probability
+- Statistics
+- Discrete Mathematics
+
+---
+
+## Career Guidance
+
+- Placements
+- Resume Reviews
+- Internship Guidance
+- Interview Preparation
+- Learning Roadmaps
+- Project Ideas
+
+---
+
+# Response Format
+
+EduMentor is designed for multimodal tutoring systems.
+
+Typical responses follow the format:
+
+```json
+{
+  "speech": "...",
+  "display": {
+    "type": "code | notes | roadmap | table | flowchart",
+    "content": "..."
+  },
+  "follow_up": "..."
+}
+```
+
+This allows downstream applications to:
+
+- speak only the explanation
+- display diagrams separately
+- avoid reading code aloud
+- render structured educational artifacts
+
+---
+
+# Intended Voice Pipeline
+
+```
+User Speech
+      │
+      ▼
+Speech Recognition
+      │
+      ▼
+EduMentor v2
+      │
+      ▼
+JSON Parser
+      │
+ ┌────┴─────────────┐
+ ▼                  ▼
+Speech           Display
+(TTS)         (Code / Notes / Roadmaps)
+```
+
+Recommended stack:
+
+- Faster-Whisper
+- EduMentor
+- llama.cpp
+- Kokoro TTS
+
+---
+
+# Example
+
+## User
+
+Explain Binary Search.
+
+## Assistant
+
+```json
+{
+  "speech": "Binary Search repeatedly divides the search space in half, making it much faster than linear search on sorted data.",
+
+  "display": {
+    "type": "code",
+    "language": "python",
+    "content": "def binary_search(...): ..."
+  },
+
+  "follow_up": "Would you like to understand the time complexity?"
+}
+```
+
+---
+
+# Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "PraneetNS/EduMentor-Qwen3-4B-v2-FP16"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+```
+
+---
+
+# Intended Applications
+
+EduMentor is suitable for:
+
+- AI Tutors
+- Educational Chatbots
+- Voice Assistants
+- Engineering Learning Platforms
+- Placement Preparation
+- Career Mentoring
+- Project Guidance
+- Classroom Assistants
+
+---
+
+# Limitations
+
+EduMentor may occasionally:
+
+- generate incorrect technical information
+- require verification for safety-critical engineering tasks
+- produce imperfect JSON formatting for highly complex requests
+- benefit from external tools or retrieval for rapidly changing topics
+
+It should not be considered a replacement for certified professional engineering advice.
+
+---
+
+# Roadmap
+
+Future versions aim to include:
+
+- Tool Calling
+- Retrieval-Augmented Generation (RAG)
+- Long-Term Student Memory
+- Personalized Learning Plans
+- Multimodal Diagram Generation
+- Real-Time Coding Assistance
+- Agentic Workflows
+
+---
+
+# Citation
+
+If you use EduMentor in academic work or projects, please cite this repository.
+
+---
+
+# Acknowledgements
+
+EduMentor is built upon the Qwen3 architecture and fine-tuned to provide personalized engineering education through conversational AI.
+
+---
+
+# Creator
+
+**Praneet N S**
+
+EduMentor is an ongoing effort to build an AI mentor capable of assisting engineering students through natural conversations, structured explanations, and voice-first educational experiences.

added_tokens.json

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+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|PAD_TOKEN|>": 151669,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
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+  "<|fim_suffix|>": 151661,
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+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
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+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- 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": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 9728,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 262144,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151669,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.56.1",
+  "unsloth_fixed": true,
+  "unsloth_version": "2026.6.8",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+  "eos_token_id": [
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+  "max_length": 262144,
+  "pad_token_id": 151669,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.56.1"
+}

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