Alif 1.0 3B Instruct is an open-source instruction-tuned language model developed by traversaal.ai, focused on Urdu and English understanding and reasoning. Fine-tuned with high-quality, culturally aware synthetic data, Alif delivers strong multilingual performance with a particular emphasis on low-resource language alignment and nuanced instruction following.

Key Highlights

Multilingual: Optimized for Urdu (primary) and English (secondary)
Instruction-tuned: Trained on synthetic QA, chat, and reasoning tasks
Lightweight: Only 3 billion parameters — fast, memory-efficient
4-bit Quantized Version: Available for on-device inference
Training Framework: Fine-tuned 2× faster using Unsloth + TRL

Model Metadata

Developer: large-traversaal
License: Apache 2.0
Base Model: unsloth/Llama-3.2-3B
Model ID: Alif-1.0-3B-Instruct
Parameters: 3 billion

Use Cases

Alif is ideal for:

Urdu and English chatbots
Question answering in low-resource languages
Translation, summarization, and creative writing
Running on edge devices with the 4-bit version

Citation

bash

@article{ShafiqueAlif2025,
  title        = {Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation},
  author       = {Muhammad Ali Shafique and Kanwal Mehreen and Muhammad Arham and Maaz Amjad and Sabur Butt and Hamza Farooq},
  journal      = {arXiv preprint arXiv:2510.09051},
  year         = {2025},
  url          = {https://arxiv.org/abs/2510.09051}
}

large-traversaal/Alif-1.0-3B-Instruct

Alif 1.0 3B Instruct

Key Highlights

Model Metadata

Use Cases

Citation

large-traversaal/
Alif-1.0-3B-Instruct