Create README.md

README.md

@@ -0,0 +1,266 @@
+# 🚀 EduMentor-Qwen3-4B-FP16
+
+**EduMentor** is a fine-tuned Qwen3 4B based AI engineering mentor designed for real-time conversational learning, coding assistance, project guidance, and career mentoring.
+
+Unlike a normal chatbot, EduMentor is optimized for **speech-to-speech AI systems**, where the model separates spoken responses from visual artifacts like code, diagrams, workflows, and roadmaps.
+
+The goal is simple:
+
+> An AI mentor that talks like a human teacher while still producing structured engineering resources.
+
+---
+
+# ✨ Key Features
+
+## 🎙 Speech-to-Speech Optimized Responses
+
+EduMentor follows a structured response format:
+
+```json
+{
+  "speech": "Short natural explanation spoken through TTS",
+  "display": {
+    "type": "code | diagram | roadmap | notes",
+    "content": "Detailed visual artifact"
+  },
+  "follow_up": "Context-aware continuation question"
+}
+
+This allows integration with:
+
+Voice assistants
+Real-time AI tutors
+Multimodal agents
+Learning platforms
+🧠 Engineering Mentor Capabilities
+
+EduMentor focuses on engineering education across multiple domains:
+
+💻 Computer Science
+Programming concepts
+Data structures and algorithms
+Debugging help
+System design
+AI/ML concepts
+Software engineering
+🤖 Artificial Intelligence
+Machine learning
+Deep learning
+LLM concepts
+Model deployment
+RAG pipelines
+⚡ Electronics / ECE
+Digital electronics
+MOSFETs
+Circuits
+Embedded basics
+⚙ Mechanical Engineering
+Engines
+Manufacturing processes
+Core engineering concepts
+🏗 Civil Engineering
+RCC concepts
+Structural basics
+Engineering fundamentals
+🎯 Career Mentor Features
+
+EduMentor can assist students with:
+
+Placement preparation
+Internship planning
+Resume improvement
+Project ideas
+Learning roadmaps
+Interview preparation
+Skill development
+🏗 Model Architecture
+
+Base:
+
+Qwen3-4B-Instruct-2507
+
+Fine-tuning:
+
+Method: LoRA SFT
+Rank: 32
+Domain: Engineering mentoring + Voice interaction
+
+Training focused on:
+
+Natural mentor conversations
+Engineering explanations
+Code artifact separation
+Emotional support
+Career guidance
+Multi-domain engineering knowledge
+📦 Available Versions
+FP16
+
+This repository contains the full merged FP16 checkpoint.
+
+Recommended for:
+
+Further fine-tuning
+vLLM deployment
+High quality inference
+GGUF Quantized Versions
+
+Optimized GGUF builds are available separately:
+
+Q6_K → Higher quality inference
+Q4_K_M → Local real-time voice deployment
+
+Recommended stack:
+
+EduMentor-Qwen3-GGUF
+        +
+llama.cpp
+        +
+GLM-4-Voice
+🚀 Usage
+
+Install dependencies:
+
+pip install transformers accelerate torch
+
+Load model:
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+
+model_id = "PraneetNS/EduMentor-Qwen3-4B-FP16"
+
+
+tokenizer = AutoTokenizer.from_pretrained(
+    model_id
+)
+
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+
+messages = [
+    {
+        "role":"system",
+        "content":"You are EduMentor, an AI engineering mentor."
+    },
+    {
+        "role":"user",
+        "content":"Explain recursion simply"
+    }
+]
+
+
+prompt = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+
+inputs = tokenizer(
+    prompt,
+    return_tensors="pt"
+).to(model.device)
+
+
+output=model.generate(
+    **inputs,
+    max_new_tokens=300
+)
+
+
+print(
+tokenizer.decode(output[0])
+)
+🧪 Example Output
+
+User:
+
+Write binary search code in Python
+
+EduMentor:
+
+{
+"speech":
+"I created the implementation below. Let's understand the idea first.",
+
+"display":
+{
+"type":"code",
+"language":"python",
+"content":"def binary_search(...)"
+},
+
+"follow_up":
+"Would you like to understand the time complexity?"
+}
+🔊 Intended Voice Pipeline
+
+EduMentor was designed for:
+
+User Speech
+
+↓
+
+Speech Encoder
+
+↓
+
+EduMentor Qwen3
+
+↓
+
+JSON Router
+
+↙              ↘
+
+TTS Speech     Display Renderer
+
+This prevents:
+
+❌ Reading code aloud
+❌ Speaking large tables
+❌ Narrating diagrams
+
+while preserving natural conversations.
+
+⚠️ Limitations
+May require a strong system prompt for strict artifact routing.
+Engineering answers should be verified for critical applications.
+Not intended to replace certified professional advice.
+🌱 Future Roadmap
+
+Planned improvements:
+
+Larger engineering datasets
+Tool calling
+RAG integration
+Real-time project assistant
+Personalized student memory
+Multimodal tutoring
+👨‍💻 Creator
+
+Built as an experiment toward creating a personalized AI mentor for engineering students.
+
+EduMentor aims to make high-quality technical guidance accessible through natural AI conversations.
+
+
+Then commit it:
+
+```python
+from huggingface_hub import upload_file
+
+
+upload_file(
+    path_or_fileobj="README.md",
+    path_in_repo="README.md",
+    repo_id="PraneetNS/EduMentor-Qwen3-4B-FP16",
+    repo_type="model",
+    commit_message="Add EduMentor model card"
+)