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vidya-gemma4-e2b-gguf
rajasingh012/vidya-gemma4-e2b-gguf
vidya-gemma4-e2b-gguf is a machine learning model from rajasingh012. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Fine-tuned Gemma 4 E2B (2.3B params) on NCERT socratic dialogue data.
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At a glance
- Access
- Public
- Created
- May 9, 2026
- Updated
- May 17, 2026
- SHA
- 344fa162
Base models
Model card
From the Hugging Face model README
Vidya - NCERT Socratic Learning Bot
Fine-tuned Gemma 4 E2B (2.3B params) on NCERT socratic dialogue data.
Model Details
- Base model: unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
- Fine-tuning method: QLoRA (rank=32, alpha=32)
- Format: GGUF Q4_K_M (~3.1 GB)
- Context length: 2048 tokens
- Trained on: 321 socratic dialogue samples (NCERT Class 6-10 Science)
Usage
This model is compatible with llama.cpp and Ollama. Download the GGUF file from the Files tab, or use the HuggingFace Hub API:
from huggingface_hub import hf_hub_download
path = hf_hub_download(repo_id='rajasingh012/vidya-gemma4-e2b-gguf',
filename='gemma-4-e2b-it-pretrained.Q4_K_M.gguf')
Mobile App
This model powers the Vidya Android app (NCERT Socratic tutoring chatbot). See: https://github.com/rajasingh012/vidya-android
Training
Trained via Unsloth FastModel API on Kaggle GPU (T4 x2). Full training logs and data pipeline available in the ncert-wiki repository.
- Created
- May 9, 2026
- Updated
- May 17, 2026