NCERT 3B v0.1 is a 3B-parameter language model fine-tuned specifically on NCERT educational datasets. Rather than being trained from scratch as a base model, it has been deliberately fine-tuned to assist students and educators by providing accurate, curriculum-aligned explanations, summaries, and Q&A capabilities.
This repository contains the GGUF formatted model, which is highly optimized for local inference on consumer hardware.
The model was fine-tuned on a custom, locally tagged dataset extracted directly from NCERT curriculum materials. This includes fully converted and structured subject data, such as the Class 9 English curriculum, to ensure high-fidelity responses to textbook queries.
Since this model is in the
GGUF format, you can easily run it locally using tools like
LM Studio,
GPT4All, or
llama.cpp.
