初始化项目，由ModelHub XC社区提供模型

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

README.md

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+---
+license: apache-2.0
+language:
+- en
+library_name: llama.cpp
+pipeline_tag: text-generation
+base_model: PraneetNS/EduMentor-Qwen3-4B-v2-FP16
+tags:
+- gguf
+- llama.cpp
+- qwen3
+- engineering
+- education
+- mentor
+- conversational
+- ai
+---
+
+# EduMentor Qwen3 4B v2 (GGUF)
+
+This repository contains GGUF quantized versions of **EduMentor Qwen3 4B v2**, an AI engineering mentor designed for university students, technical learning, coding assistance, project guidance, and placement preparation.
+
+These models are converted from the merged FP16 checkpoint and optimized for inference with **llama.cpp**, **LM Studio**, **Ollama (GGUF import)**, **Open WebUI**, **Jan**, and other GGUF-compatible runtimes.
+
+---
+
+# Base Model
+
+**FP16 Repository**
+
+https://huggingface.co/PraneetNS/EduMentor-Qwen3-4B-v2-FP16
+
+---
+
+# Available Quantizations
+
+| File | Size | Recommended For |
+|------|------:|-----------------|
+| EduMentor-Qwen3-4B-v2-F16.gguf | ~7.5 GB | Maximum quality |
+| EduMentor-Qwen3-4B-v2-Q8_0.gguf | ~4.0 GB | Near-FP16 quality |
+| EduMentor-Qwen3-4B-v2-Q6_K.gguf | ~3.1 GB | Best balance of quality and speed |
+| EduMentor-Qwen3-4B-v2-Q4_K_M.gguf | ~2.4 GB | Fast local inference |
+
+---
+
+# Features
+
+EduMentor v2 is fine-tuned for engineering education and technical mentoring.
+
+It supports:
+
+- Programming Fundamentals
+- Data Structures & Algorithms
+- System Design
+- Machine Learning
+- Deep Learning
+- Large Language Models
+- Electronics
+- Electrical Engineering
+- Mechanical Engineering
+- Civil Engineering
+- Mathematics
+- Resume Reviews
+- Internship Preparation
+- Placement Preparation
+- Interview Guidance
+- Project Mentoring
+
+---
+
+# Response Format
+
+EduMentor is optimized for multimodal tutoring systems.
+
+Typical responses follow the structure:
+
+```json
+{
+  "speech": "...",
+  "display": {
+    "type": "code | notes | roadmap | table | diagram",
+    "content": "..."
+  },
+  "follow_up": "..."
+}
+```
+
+This enables voice assistants to speak only natural explanations while rendering code, diagrams, or notes separately.
+
+---
+
+# Example
+
+### User
+
+Explain Binary Search.
+
+### Assistant
+
+```json
+{
+  "speech": "Binary Search repeatedly divides the search interval in half, making it much faster than linear search on sorted arrays.",
+
+  "display": {
+    "type": "code",
+    "language": "python",
+    "content": "def binary_search(...): ..."
+  },
+
+  "follow_up": "Would you like to understand its time complexity?"
+}
+```
+
+---
+
+# Running with llama.cpp
+
+```bash
+./llama-cli \
+-m EduMentor-Qwen3-4B-v2-Q4_K_M.gguf \
+-c 4096 \
+-p "Explain recursion simply."
+```
+
+---
+
+# Recommended Quantization
+
+| Hardware | Recommendation |
+|-----------|---------------|
+| 8 GB RAM | Q4_K_M |
+| 16 GB RAM | Q6_K |
+| 24 GB+ RAM | Q8_0 |
+| GPU Servers | F16 |
+
+---
+
+# Limitations
+
+EduMentor may occasionally:
+
+- produce incorrect technical information
+- require verification for safety-critical engineering tasks
+- generate imperfect JSON formatting for complex prompts
+- benefit from retrieval augmentation for rapidly changing topics
+
+The model should not replace professional engineering advice.
+
+---
+
+# Training
+
+Base Architecture:
+
+- Qwen3-4B
+
+Fine-tuning:
+
+- Supervised Fine-Tuning (LoRA)
+- Fully merged into FP16
+- Converted to GGUF using llama.cpp
+
+---
+
+# Creator
+
+**Praneet N S**
+
+EduMentor is an ongoing effort to build an AI mentor capable of providing high-quality engineering education through natural conversations and voice-first tutoring systems.