Model Overview

The sabaridsnfuji/Qwen3-1.7B-tamil-16bit-Instruct is a 2 billion parameter Qwen3-based language model developed by sabaridsnfuji. It has been finetuned from unsloth/qwen3-1.7b-unsloth-bnb-4bit using Unsloth and Huggingface's TRL library, which enabled 2x faster training.

Key Capabilities

• Tamil Language Instruction Following: The model is specifically trained to understand and respond to instructions in Tamil.
• Efficient Training: Utilizes Unsloth for accelerated finetuning, making it a resource-efficient option for deployment.
• Qwen3 Architecture: Benefits from the underlying Qwen3 architecture, providing a strong foundation for language understanding.

Good For

• Tamil NLP Applications: Ideal for tasks requiring instruction-tuned responses in the Tamil language.
• Resource-Constrained Environments: Its efficient training and relatively smaller size (2B parameters) make it suitable for scenarios where computational resources are a consideration.
• Experimentation with Qwen3 in Tamil: Provides a ready-to-use finetuned Qwen3 model for developers working on Tamil language projects.