Mikav

Mikav is an open-source Malayalam foundation model project built for Hugging Face.

Goals

  • Train a Malayalam-first language model.
  • Keep data preparation, tokenizer training, model training, and evaluation reproducible.
  • Publish model checkpoints, tokenizer files, and model cards on Hugging Face.

Repository Layout

  • configs/ contains tokenizer, model, pretraining, and fine-tuning settings.
  • data/ contains raw, cleaned, deduplicated, and tokenized datasets.
  • tokenizer/ contains tokenizer assets and training scripts.
  • mikav/ contains model and tokenizer Python package code.
  • scripts/ contains data, training, evaluation, and Hugging Face upload scripts.
  • training/ contains distributed training configs.
  • evaluation/ contains benchmark and prompt evaluation assets.
  • model_card/ contains Hugging Face model-card documentation.
  • examples/ contains inference examples.
  • tests/ contains basic checks.

Quick Start

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements.txt

License

Apache-2.0 by default. Update LICENSE if you choose a different license.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support