Model Overview

hawandonnell/base is a 4 billion parameter instruction-tuned language model, developed by hawandonnell. It is built upon the Qwen3 architecture and was fine-tuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit model.

Key Characteristics

• Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
• Base Architecture: Leverages the Qwen3 architecture, known for its strong performance in various language understanding and generation tasks.
• Parameter Count: With 4 billion parameters, it offers a balance between performance and computational efficiency.

Intended Use Cases

This model is suitable for a range of general instruction-following applications, benefiting from its efficient fine-tuning. Developers looking for a Qwen3-based model with optimized training will find this particularly useful.