Model Overview

This model, developed by koutch, is a 4 billion parameter instruction-tuned variant of the Qwen3 architecture. It was fine-tuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit base model.

Key Characteristics

• Architecture: Qwen3, a powerful transformer-based language model.
• Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
• Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
• License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for a variety of general instruction-following tasks, benefiting from its instruction-tuned nature and efficient training. Its 4B parameter size makes it a good candidate for applications where resource constraints are a consideration, while still providing robust language understanding and generation capabilities.