ওভারভিউ
A lightweight implementation for exploring small language model pretraining and fine-tuning. The repository is maintained under jingyaogong on GitHub. Its primary language is Python. See the [project README](https://github.com/jingyaogong/minimind#readme) for the supported workflows.
প্রধান বৈশিষ্ট্যসমূহ
- A lightweight implementation for exploring small language model pretraining and fine-tuning.
প্রয়োজনীয়তা, ইনস্টলেশন ও দ্রুত শুরু
Follow the repository quickstart to install dependencies and obtain the model or training data required by the selected example.
[Read the upstream installation and quickstart instructions](https://github.com/jingyaogong/minimind#readme).
[Read the upstream installation and quickstart instructions](https://github.com/jingyaogong/minimind#readme).
ব্যবহার
Run a small inference or training example first, then adjust the documented configuration for your hardware and dataset.
[Usage examples and configuration reference](https://github.com/jingyaogong/minimind#readme).
[Usage examples and configuration reference](https://github.com/jingyaogong/minimind#readme).
মডেলের সামঞ্জস্যতা ও ব্যবহারের ক্ষেত্র
রিপোজিটরি মেটাডেটায় মডেলের সামঞ্জস্যতা উল্লেখ করা নেই।
লাইসেন্স ও ঝুঁকি-সংক্রান্ত নোট
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
রিলিজ ও রক্ষণাবেক্ষণ
[View upstream releases](https://github.com/jingyaogong/minimind/releases).