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dhananjayyy23/
shikshaedge-gemma3-gguf

Name: shikshaedge-gemma3-gguf
Availability: InStock

gguf

endpoints_compatible

conversational

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base_model: google/gemma-3-4b-it language:

hi
mr
en license: apache-2.0 tags:
education
india
multilingual
gguf
ollama
gemma-3
shikshaedge

ShikshaEdge — Gemma 3 4B GGUF

Fine-tuned from Gemma 3 4B on 2,170 NCERT curriculum Q&A pairs in Hindi, Marathi, and English. Optimized for offline AI tutoring for Indian K-12 students (Class 6-10).

Run with Ollama

bash

ollama pull hf.co/dhananjayyy23/shikshaedge-gemma3-gguf
ollama run hf.co/dhananjayyy23/shikshaedge-gemma3-gguf

Use case

Offline AI tutoring for Class 6-10 Indian students
Runs on Raspberry Pi 4 / low-cost hardware
No internet required after setup
Hindi, Marathi, English multilingual support

Training details

Base model: Gemma 3 4B IT
Fine-tuning: QLoRA (r=16) via Unsloth on Google Colab T4
Dataset: 2,170 NCERT Science & Math Q&A pairs
Languages: Hindi (7/20), English (7/20), Marathi (6/20) per batch
Epochs: 3
Final loss: ~2.3

Quantization

Format: GGUF Q8_0
Size: 4.1GB
Compatible with Ollama, llama.cpp

Part of ShikshaEdge project

Built for the Gemma 4 Good Hackathon 2026. Dataset: ShikshaEdge NCERT Curriculum Dataset